Exercises in Astronomical Data Analysis for Beginners
This unique book bridges the gap between textbooks and practical research by taking a pragmatic approach towards various concepts in astronomy. It introduces students to astronomy-specific jargon used by professional astronomers, while covering a wide range of topics from stars to galaxy clusters. It will aid learners with preliminary experience in computing and/or astronomy to experience astronomical data analysis. Each exercise also includes a summary of the accompanying theory to provide learners a head start. Although this book was conceptualised from introductory astronomy courses, undergraduate students, amateur astronomers, and college lecturers will all find it useful.
Cobol
Are you interested in getting a better understanding of the COBOL programming language?Do you seek to know how COBOL interacts with other database management systems?Would you like to expand your knowledge base of database systems?COBOL Database Interaction is a set of techniques that allow us to interact with databases. COBOL Database Interaction is used to retrieve, store and modify specific records in a database table. It is done by modifying row values. This feature of COBOL allows us to perform everyday tasks such as deleting or updating records in a database table while restoring the original state of the data after the updated records have been deleted.COBOL Database Interaction is used to update records in a database table selectively. It is done by modifying row values without affecting other records in the same table. COBOL Database Interaction allows us to perform tasks such as deleting or updating specific, pre-existing records and also provides us with a mechanism by which we can create new, empty records (without having to create them manually) before saving them to their original data tables.This book covers: - Database Overview - Database Management System Architecture - Language for Database Applications - Data and Database Management and Operations (DBMO) - DBMS Control Mechanisms - DBMS Control Program Structures - Data Dictionary Management Systems - Procedure and Package Versioning - DBMS Implementation and Development Techniques- DBMS Support of OLAP Applications- And much more...Why is it necessary to understand COBOL database interaction?Understanding the basics of COBOL database interaction is essential in the technology field because COBOL has been used in many industries and is still in use today. In addition, this knowledge can be applied to many software applications and programs.
Recent Trends in Computational Sciences
This book is a compilation of research papers and presentations from the Fourth Annual International Conference on Data Science, Machine Learning and Blockchain Technology (AICDMB 2023, Mysuru, India, 16-17 March 2023).
Successful Business Intelligence 2e (Pb)
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.Revised to cover new advances in business intelligence--big data, cloud, mobile, and more--this fully updated bestseller reveals the latest techniques to exploit BI for the highest ROI. "Cindi has created, with her typical attention to details that matter, a contemporary forward-looking guide that organizations could use to evaluate existing or create a foundation for evolving business intelligence / analytics programs. The book touches on strategy, value, people, process, and technology, all of which must be considered for program success. Among other topics, the data, data warehousing, and ROI comments were spot on. The 'technobabble' chapter was brilliant!" ―Bill Frank, Business Intelligence and Data Warehousing Program Manager, Johnson & Johnson"If you want to be an analytical competitor, you've got to go well beyond business intelligence technology. Cindi Howson has wrapped up the needed advice on technology, organization, strategy, and even culture in a neat package. It's required reading for quantitatively oriented strategists and the technologists who support them." ―Thomas H. Davenport, President's Distinguished Professor, Babson College and co-author, Competing on Analytics"Cindi has created an exceptional, authoritative description of the end-to-end business intelligence ecosystem. This is a great read for those who are just trying to better understand the business intelligence space, as well as for the seasoned BI practitioner." ―Sully McConnell, Vice President, Business Intelligence and Information Management, Time Warner Cable"Cindi's book succinctly yet completely lays out what it takes to deliver BI successfully. IT and business leaders will benefit from Cindi's deep BI experience, which she shares through helpful, real-world definitions, frameworks, examples, and stories. This is a must-read for companies engaged in - or considering - BI." ―Barbara Wixom, PhD, Principal Research Scientist, MIT Sloan Center for Information Systems ResearchExpanded to cover the latest advances in business intelligence such as big data, cloud, mobile, visual data discovery, and in-memory computing, this fully updated bestseller by BI guru Cindi Howson provides cutting-edge techniques to exploit BI for maximum value. Successful Business Intelligence: Unlock the Value of BI & Big Data, Second Edition describes best practices for an effective BI strategy. Find out how to: Garner executive support to foster an analytic cultureAlign the BI strategy with business goalsDevelop an analytic ecosystem to exploit data warehousing, analytic appliances, and Hadoop for the right BI workload Continuously improve the quality, breadth, and timeliness of dataFind the relevance of BI for everyone in the companyUse agile development processes to deliver BI capabilities and improvements at the pace of business changeSelect the right BI tools to meet user and business needsMeasure success in multiple waysEmbrace innovation, promote successes and applications, and invest in trainingMonitor your evolution and maturity across various factors for impactExclusive industry survey data and real-world case studies from Medtronic, Macy's, 1-800 CONTACTS, The Dow Chemical Company, Netflix, Constant Contact, and other companies show successful BI initiatives in action. From Moneyball to Nate Silver, BI and big data have permeated our cultural, political, and economic landscape. This
Analyzing Non-Textual Content Elements to Detect Academic Plagiarism
Identifying plagiarism is a pressing problem for research institutions, publishers, and funding bodies. Current detection methods focus on textual analysis and find copied, moderately reworded, or translated content. However, detecting more subtle forms of plagiarism, including strong paraphrasing, sense-for-sense translations, or the reuse of non-textual content and ideas, remains a challenge. This book presents a novel approach to address this problem--analyzing non-textual elements in academic documents, such as citations, images, and mathematical content. The proposed detection techniques are validated in five evaluations using confirmed plagiarism cases and exploratory searches for new instances. The results show that non-textual elements contain much semantic information, are language-independent, and resilient to typical tactics for concealing plagiarism. Incorporating non-textual content analysis complements text-based detection approaches and increases the detection effectiveness, particularly for disguised forms of plagiarism. The book introduces the first integrated plagiarism detection system that combines citation, image, math, and text similarity analysis. Its user interface features visual aids that significantly reduce the time and effort users must invest in examining content similarity.
Web and Wireless Geographical Information Systems
This volume LNCS 13912 constitutes the refereed proceedings of the 20th International Symposium on Web and Wireless Geographical Information Systems, W2GIS 2023, in June 12-13, 2023 in Quebec City, QC, Canada. The 9 full papers presented together with 2 short papers were carefully reviewed and selected from 14 submissions. The conference focuses on topics such as Sensors Networks and Data Steaming; Mobility and Navigation; AI for Mobility Data Analytics; Volunteered Geographic information (VGI); Network Analysis and Geovisualization.
The Data Lakehouse
The data lakehouse is the next generation of the data warehouse and data lake, designed to meet today's complex and ever-changing modern information systems. This book shows you how to construct your data lakehouse as the foundation for your artificial intelligence (AI), machine learning (ML), and data mesh initiatives. Know the pitfalls and techniques for maximizing business value of your data lakehouse.In addition, be able to explain the core characteristics and critical success factors of a data lakehouse. By reviewing entry errors, key incompatibility, and ensuring good documentation, we can improve the data quality and believability of your lakehouse. Evaluate criteria for data quality, including accuracy, completeness, reliability, relevance, and timeliness. Understand the different types of storage for the lakehouse, including the under-utilized yet extremely valuable bulk storage. There are three data types in the data lakehouse (structured, textual, and analog/ IoT), and for each, learn how to build a robust foundation for artificial intelligence (AI), machine learning (ML), and data mesh. Leverage data models for structured data, ontologies and taxonomies for textual data, and distillation algorithms for analog/IoT data. Learn how to abstract these data types to accommodate future requirements and simplify data lineage. Apply Extract, Transform, and Load (ETL) to create a structure that returns the answers to business problems. The end result is a data lakehouse that meets our needs. Speaking of human needs, learn Maslow's Hierarchy of Data Lakehouse Needs. Next explore data integration geared for Al, ML, and data mesh. Then deep dive with us into all of the varieties of analytics within the lakehouse, including structured, textual, and analog analytics. Witness how descriptive data, data catalog, and metadata can increase the value of the lakehouse. We conclude with a detailed evolution of data architecture, from magnetic tape to the data lakehouse as a bedrock foundation for AI, ML, and data mesh.
Enterprise, Business-Process and Information Systems Modeling
This book contains the refereed proceedings of two long-running events held along with the CAiSE conference relating to the areas of enterprise, business-process and information systems modeling: * the 24th International Conference on Business Process Modeling, Development and Support, BPMDS 2023, and * the 28th International Conference on Exploring Modeling Methods for Systems Analysis and Development, EMMSAD 2023. The conferences were taking place in Zaragoza, Spain, during June 12-13, 2023. For BPMDS 9 full papers and 2 short papers were carefully reviewed and selected for publication from a total of 26 submissions; for EMMSAD 9 full papers and 3 short papers were accepted from 26 submissions after thorough reviews. The BPMDS papers deal with a broad range of theoretical and applications-based research in business process modeling, development and support. EMMSAD focusses on modeling methods for systems analysis and development.
Sustainable Energy for Smart Cities
This book constitutes the refereed post-conference proceedings of the 4th EAI International Conference on Sustainable Energy for Smart Cities, SESC 2022, held in Braga, Portugal, in November 2022. The 10 revised full papers were carefully reviewed and selected from 29 submissions. They present multidisciplinary scientific results toward answering complex technological problems of emergent Smart Cities. The subjects related to sustainable energy, framed with the scope of smart cities and addressed along with the SESC 2022 conference, are crucial to guarantee an equilibrium among economic growth and environmental sustainability, as well as to contribute to reducing the impact of climate change.
Cloud Data Warehousing Volume I
Let the sun shine through! The cloud in data warehousing skies is finally clearing as Dr. Barry Devlin builds the architectural and systems foundations for data lakehouse, data fabric, and data mesh, as well as the base cloud data warehouse.The past five years has seen an explosion of innovation and new technical forms as cloud data warehousing has gone mainstream. But confusion has grown too. After all, the business needs are largely unchanged. So, why are there so many options and approaches? How do they differ? Which one may be the best choice? And why?In this first volume of a two-part series, Dr. Barry Devlin-a founder of the entire data warehousing industry-offers initial answers these questions. Drawing lessons from the long history of data warehousing, he defines an all-embracing architecture and draws specific architectural design patterns for each of these modern approaches. And he discusses the various choices and paths from current systems to the different cloud solutions.Volume II expands further on the architectural considerations and offers deeper dives into cloud data warehouse, data fabric, data lakehouse, and data mesh. It also offers an independent view of their strengths and weaknesses.
Data Ingestion with Python Cookbook
Deploy your data ingestion pipeline, orchestrate, and monitor efficiently to prevent loss of data and qualityPurchase of the print or Kindle book includes a free PDF eBookKey Features: Harness best practices to create a Python and PySpark data ingestion pipelineSeamlessly automate and orchestrate your data pipelines using Apache AirflowBuild a monitoring framework by integrating the concept of data observability into your pipelinesBook Description: Data Ingestion with Python Cookbook offers a practical approach to designing and implementing data ingestion pipelines. It presents real-world examples with the most widely recognized open source tools on the market to answer commonly asked questions and overcome challenges.You'll be introduced to designing and working with or without data schemas, as well as creating monitored pipelines with Airflow and data observability principles, all while following industry best practices. The book also addresses challenges associated with reading different data sources and data formats. As you progress through the book, you'll gain a broader understanding of error logging best practices, troubleshooting techniques, data orchestration, monitoring, and storing logs for further consultation.By the end of the book, you'll have a fully automated set that enables you to start ingesting and monitoring your data pipeline effortlessly, facilitating seamless integration with subsequent stages of the ETL process.What You Will Learn: Implement data observability using monitoring toolsAutomate your data ingestion pipelineRead analytical and partitioned data, whether schema or non-schema basedDebug and prevent data loss through efficient data monitoring and loggingEstablish data access policies using a data governance frameworkConstruct a data orchestration framework to improve data qualityWho this book is for: This book is for data engineers and data enthusiasts seeking a comprehensive understanding of the data ingestion process using popular tools in the open source community. For more advanced learners, this book takes on the theoretical pillars of data governance while providing practical examples of real-world scenarios commonly encountered by data engineers.
Information Technology in Disaster Risk Reduction
This volume constitutes the refereed and revised post-conference proceedings of the 7th IFIP WG 5.15 International Conference on Information Technology in Disaster Risk Reduction, ITDRR 2022, held in Kristiansand, Norway, in October 2022.The 23 full papers presented were carefully reviewed and selected from 33 submissions. The papers focus on various aspects and challenges of coping with disaster risk reduction. The papers are categorized in the following topical subheadings: strategic disaster risk reduction; situational awareness; telecommunications, sensors and drones; collaborative emergency management; cybersecurity and privacy; earthquake and climate forecasting; social media analytics; community resilience.
Variable Neighborhood Search
This volume constitutes the proceedings of the 9th International Conference on Variable Neighborhood Search, ICVNS 2023, held in Abu Dhabi, United Arab Emirates, in October 2022.The 11 full papers presented in this volume were carefully reviewed and selected from 29 submissions. The papers describe recent advances in methods and applications of variable neighborhood search.
Business Modeling and Software Design
This book constitutes the refereed proceedings of the 13h International Symposium on Business Modeling and Software Design, BMSD 2023, which took place in Utrecht, The Netherlands, July 2023.The 11 full and 18 short papers included in this book were carefully reviewed and selected from a total of 65 submissions. BMSD is a leading international forum that brings together researchers and practitioners interested in business modeling and its relation to software design. Particular areas of interest are: Business Processes and Enterprise Engineering, Business Models and Requirements, Business Models and Services, Business Models and Software, Information Systems Architectures and Paradigms, Data Aspects in Business Modeling and Software Development, Blockchain-Based Business Models and Information Systems, Iot and Implications for Enterprise Information Systems. Each year, a special theme is chosen, for making presentations and discussions more focused. The BMSD 2023 theme is: Incorporating Context Awareness in the Design of Information Systems.
Applied Machine Learning and Data Analytics
This book constitutes the refereed proceedings of the 5th International Conference on Applied Machine Learning and Data Analytics, AMLDA 2022, held in Reynosa, Tamaulipas, Mexico, during December 22-23, 2022. The 16 full papers and 4 short papers included in this book were carefully reviewed and selected from 89 submissions. They were organized in topical sections as follows: Machine learning, Healthcare and medical imaging informatics; biometrics; forensics; precision agriculture; risk management; robotics and satellite imaging.
Modeling and Simulation of Social-Behavioral Phenomena in Creative Societies
This book constitutes the joint refereed proceedings of the Second International Conference on Modeling and Simulation of Social-Behavioral Phenomena in Creative Societies, MSBC 2022, held in Vilnius, Lithuania, in September 2022.The 14 full papers and 1 short paper presented were carefully reviewed and selected from 35 submissions. The papers are organized in the following topical sections: simulation of behavioral processes; modeling of sustainability; and data science and modeling.
Foundation Models for Natural Language Processing
This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts. Over the recent years, a revolutionary new paradigm has been developed for training models for NLP. These models are first pre-trained on large collections of text documents to acquire general syntactic knowledge and semantic information. Then, they are fine-tuned for specific tasks, which they can often solve with superhuman accuracy. When the models are large enough, they can be instructed by prompts to solve new tasks without any fine-tuning. Moreover, they can be applied to a wide range of different media and problem domains, ranging from image and video processing to robot control learning. Because they provide a blueprint for solving many tasks in artificial intelligence, they have been called Foundation Models. After a brief introduction to basic NLP models the main pre-trained language models BERT, GPT and sequence-to-sequence transformer are described, as well as the concepts of self-attention and context-sensitive embedding. Then, different approaches to improving these models are discussed, such as expanding the pre-training criteria, increasing the length of input texts, or including extra knowledge. An overview of the best-performing models for about twenty application areas is then presented, e.g., question answering, translation, story generation, dialog systems, generating images from text, etc. For each application area, the strengths and weaknesses of current models are discussed, and an outlook on further developments is given. In addition, links are provided to freely available program code. A concluding chapter summarizes the economic opportunities, mitigation of risks, and potential developments of AI.
Foundation Models for Natural Language Processing
This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts. Over the recent years, a revolutionary new paradigm has been developed for training models for NLP. These models are first pre-trained on large collections of text documents to acquire general syntactic knowledge and semantic information. Then, they are fine-tuned for specific tasks, which they can often solve with superhuman accuracy. When the models are large enough, they can be instructed by prompts to solve new tasks without any fine-tuning. Moreover, they can be applied to a wide range of different media and problem domains, ranging from image and video processing to robot control learning. Because they provide a blueprint for solving many tasks in artificial intelligence, they have been called Foundation Models. After a brief introduction to basic NLP models the main pre-trained language models BERT, GPT and sequence-to-sequence transformer are described, as well as the concepts of self-attention and context-sensitive embedding. Then, different approaches to improving these models are discussed, such as expanding the pre-training criteria, increasing the length of input texts, or including extra knowledge. An overview of the best-performing models for about twenty application areas is then presented, e.g., question answering, translation, story generation, dialog systems, generating images from text, etc. For each application area, the strengths and weaknesses of current models are discussed, and an outlook on further developments is given. In addition, links are provided to freely available program code. A concluding chapter summarizes the economic opportunities, mitigation of risks, and potential developments of AI.
Time-Frequency Equalization of Loudspeakers, Headphones and Microphones
It has been known for over fifty years that loudspeaker systems and individual drivers suffer from Time-Frequency Distortion: different frequencies pass thorough a loudspeaker at different rates. This causes smearing of starting transients and temporal disconnection of fundamentals and their related harmonics. This book describes an effective method of reducing Time-Frequency Distortion causing major improvements in Stereo Imaging, Detail Resolution, Realism and Depth of Field.
Big Data Systems
Big Data Systems encompass massive challenges related to data diversity, storage mechanisms, and requirements of massive computational power. The book's purpose is to provide a detailed overview of big data systems. It adopts a challenge-centric approach in which platforms are evaluated based on their capabilities to solve specific challenges.
Be Data Analytical
Be Data Analytical is the book organizations and individuals need to understand how to truly use analytics to turn data into valuable insights and drive smarter decision making. Data needs analytics to turn it into value and for organizations to be truly data-driven, they need to use analytics correctly. However, most organizations do not move beyond the first, most rudimentary stage of analytics. They miss out on the powerful insights and opportunities available with all the four levels of analytics: descriptive, diagnostic, predictive and prescriptive. Be Data Analytical reveals how to supercharge data value through all the four levels of analytics, bringing data to life and enhancing data-driven decision making. Be Data Analytical examines each of these four levels of analytics in-depth: what they are, why they matter, how they can be used strategically and how they can be implemented. The book also explores how individuals and organizations can improve their skills and performance in each of these areas. Written by a global trailblazer in the world of data literacy, the book shows professionals, managers, leaders and organizations how to use analytics for the successful and strategic conversion of data into value, insight and action.
Be Data Analytical
Be Data Analytical is the book organizations and individuals need to understand how to truly use analytics to turn data into valuable insights and drive smarter decision making. Data needs analytics to turn it into value and for organizations to be truly data-driven, they need to use analytics correctly. However, most organizations do not move beyond the first, most rudimentary stage of analytics. They miss out on the powerful insights and opportunities available with all the four levels of analytics: descriptive, diagnostic, predictive and prescriptive. Be Data Analytical reveals how to supercharge data value through all the four levels of analytics, bringing data to life and enhancing data-driven decision making. Be Data Analytical examines each of these four levels of analytics in-depth: what they are, why they matter, how they can be used strategically and how they can be implemented. The book also explores how individuals and organizations can improve their skills and performance in each of these areas. Written by a global trailblazer in the world of data literacy, the book shows professionals, managers, leaders and organizations how to use analytics for the successful and strategic conversion of data into value, insight and action.
Maturing the Snowflake Data Cloud
This project-oriented book gives you a hands-on approach to designing, developing, and templating your Snowflake platform delivery. Written by seasoned Snowflake practitioners, the book is full of practical guidance and advice to accelerate and mature your Snowflake journey. Working through the examples helps you develop the skill, knowledge, and expertise to expand your organization's core Snowflake capability and prepare for later incorporation of additional Snowflake features as they become available. Your Snowflake platform will be resilient, fit for purpose, extensible, and guarantee rapid, consistent, and repeatable, pattern-based deployments ready for application delivery.When a Snowflake account is delivered there are no controls, guard rails, external monitoring, nor governance mechanisms baked in. From a large organization perspective, this book explains how to deliver your core Snowflake platform in the form of a Landing Zone, a consistent, templated approach that assumes familiarity with Snowflake core concepts and principles. The book also covers Snowflake from a governance perspective and addresses the "who can see what?" question, satisfying requirements to know for certain that your Snowflake accounts properly adhere to your organization's data usage policies.The book provides a proven pathway to success by equipping you with skill, knowledge, and expertise to accelerate Snowflake adoption within your organization. The patterns delivered within this book are used for production deployment, and are proven in real-world use. Examples in the book help you succeed in an environment in which governance policies, processes, and procedures oversee and control every aspect of your Snowflake platform development and delivery life cycle. Your environment may not be so exacting, but you'll still benefit from the rigorous and demanding perspective this book's authors bring to the table. The book showsyou how to leverage what you already know and adds what you don't know, all applied to deliver your Snowflake accounts. You will know how to position your organization to deliver consistent Snowflake accounts that are prepared and ready for immediate application development. What You Will LearnCreate a common, consistent deployment framework for Snowflake in your organizationEnable rapid up-skill and adoption of Snowflake, leveraging the benefits of cloud platformsDevelop a deep understanding of Snowflake administration and configurationImplement consistent, approved design patterns that reduce account provisioning timesManage data consumption by monitoring and controlling access to datasets Who This Book Is ForSystems administrators charged with delivering a common implementationpattern for all Snowflake accounts within an organization; senior managers looking to simplify the delivery of complex technology into their existing infrastructure; developers seeking to understand guard rails, monitoring, and controls to ensure that Snowflake meets their organization's requirements; sales executives needing to understand how their data usage can be monitored and gain insights into how their data is being consumed; governance colleagues wanting to know who can see each data set, and wanting to identify toxic role combinations, and have confidence that their Snowflake accounts are properly provisioned
Advances in Geospatial Data Science
This book presents a selection of manuscripts submitted to the 2nd International Conference on Geospatial Information Sciences 2021, a virtual conference held on November 3-5, 2021. These papers were selected by the Scientific Program Committee of the Conference after a rigorous peer-review process. They represent the vast scope of the interdisciplinary research areas that characterize the Geospatial Information Sciences that is done in the discipline. It especially represents a fabulous opportunity to showcase research carried out by young Mexican researchers and showcase it to the rest of the world and enhance the growth of the sciences in the country while, at the same time, enforces them to level up with other research at the international level.
Volunteered Geographic Information
This open access book includes methods for retrieval, semantic representation, and analysis of Volunteered Geographic Information (VGI), geovisualization and user interactions related to VGI, and discusses selected topics in active participation, social context, and privacy awareness. It presents the results of the DFG-funded priority program "VGI: Interpretation, Visualization, and Social Computing" (2016-2023).The book includes three parts representing the principal research pillars within the program. Part I "Representation and Analysis of VGI" discusses recent approaches to enhance the representation and analysis of VGI. It includes semantic representation of VGI data in knowledge graphs; machine-learning approaches to VGI mining, completion, and enrichment as well as to the improvement of data quality and fitness for purpose. Part II "Geovisualization and User Interactions related to VGI" book explores geovisualizations and user interactions supporting the analysis and presentation of VGI data. When designing these visualizations and user interactions, the specific properties of VGI data, the knowledge and abilities of different target users, and technical viability of solutions need to be considered. Part III "Active Participation, Social Context and Privacy Awareness" of the book addresses the human impact associated with VGI. It includes chapters on the use of wearable sensors worn by volunteers to record their exposure to environmental stressors on their daily journeys, on the collective behavior of people using location-based social media and movement data from football matches, and on the motivation of volunteers who provide important support in information gathering, filtering and analysis of social media in disaster situations.The book is of interest to researchers and advanced professionals in geoinformation, cartography, visual analytics, data science and machine learning.
Research Skills
The modern world is awash with data. The R Project is a statistical environment and programming language that can help to make sense of it all. A huge open-source project, R has become enormously popular because of its power and flexibility. With R you can organise, analyse and visualise data. This clear and methodical book will help you learn how to use R from the ground up, giving you a start in the world of data science. Learning about data is important in many academic and business settings, and R offers a potent and adaptable programming toolbox. The book covers a range of topics, including: importing/exporting data, summarising data, visualising data, managing and manipulating data objects, data analysis (regression, ANOVA and association among others) and programming functions. Regardless of your background or specialty, you'll find this book the perfect primer on data analysis, data visualisation and data management, and a springboard for further exploration.
Benchmarking, Measuring, and Optimizing
This book constitutes the refereed post-conference proceedings of the 14th BenchCouncil International Symposium on Benchmarking, Measuring, and Optimization, Bench 2022, held virtually in November 2022.The 10 revised full papers presented were carefully reviewed and selected from 20 submissions. The papers are organized in topical sections named: Architecture and System, Algorithm and Dataset, Network and Memory.
Streaming Data Mesh
Data lakes and warehouses have become increasingly fragile, costly, and difficult to maintain as data gets bigger and moves faster. Data meshes can help your organization decentralize data, giving ownership back to the engineers who produced it. This book provides a concise yet comprehensive overview of data mesh patterns for streaming and real-time data services. Authors Hubert Dulay and Stephen Mooney examine the vast differences between streaming and batch data meshes. Data engineers, architects, data product owners, and those in DevOps and MLOps roles will learn steps for implementing a streaming data mesh, from defining a data domain to building a good data product. Through the course of the book, you'll create a complete self-service data platform and devise a data governance system that enables your mesh to work seamlessly. With this book, you will: Design a streaming data mesh using Kafka Learn how to identify a domain Build your first data product using self-service tools Apply data governance to the data products you create Learn the differences between synchronous and asynchronous data services Implement self-services that support decentralized data
Data for the Tiger
Data is the gold of the 21st century. Buzzwords like "data culture" or "data-driven company" are on everyone's lips. Instead of dry theory, "Data for the Tiger" conveys the path to a data-driven company in the form of an entertaining fable with wild animals in a jungle. A lively story for both data specialists and data consumers who want to get more value out of their data. Are you ready for the most extraordinary textbook the data world has ever seen?
The Way of Data
Everyone is already in the era of big data. It is gradually changing people's lifestyles. Therefore, it is necessary to explore the development path of big data, balance the relationship between technology, policy, and the market, so that it can better serve human society.This comprehensive book introduces what big data is, big data processing systems, big data management technologies, and big data analysis methods in an easy-to-understand language. It explains the specific applications of big data in smart government affairs, economic development, and the improvement of people's livelihood and welfare.
Advanced Information Systems Engineering Workshops
This book constitutes the thoroughly refereed proceedings of the international workshops associated with the 35th International Conference on Advanced Information Systems Engineering, CAiSE 2023, which was held in Zaragoza, Spain, during June 12-16, 2023.The workshops included in this volume are: - 1st International Workshop on Hybrid Artificial Intelligence and Enterprise Modelling for Intelligent Information Systems (HybridAIMS)- 1st Workshop on Knowledge Graphs for Semantics-Driven Systems Engineering (KG4SDSE)- Blockchain and Decentralized Governance Design for Information Systems (BC4IS and DGD) They reflect a broad range of topics and trends ranging from blockchain technologies via digital factories, ethics, and ontologies, to the agile methods for business and information systems. The theme of this year's CAiSE was "Cyber-Human Systems". The 10 full papers and 9 short paper presented in this book were carefully reviewed and selected from 25 submissions.
SQL
Many companies worldwide suffer from one fundamental problem, and that is the inefficient functioning of their databases. While many know of database tuning and work to cover that aspect, professional database developers, managers, and administrators always miss one thing: optimizing their queries to save maximum time and cost and provide the query efficiently. Those who are aware of query optimization often lack the skillset and resources to implement this process at an advanced level efficiently. This book aims to make it easier for them.Here are some ways this book will prove beneficial for readers of all types, e.g., database administrators, teachers, students, or people genuinely interested in databases: - This book is free of any sort of jargon and complex discussions. The simple language aims to make it accessible to and implementable for people of all backgrounds.- This book uses a very balanced approach. Too much time is not given to concepts that may be irrelevant, nor is anything missed out (purposefully) that may be of substantial importance to the readers.- Simplified code is provided that can be used by the readers as a reference. This approach allows the readers to get onto practical implementation immediately.- This book sticks to the point. That means the readers are likely to get exactly what they are looking for and will not find the book's title misleading by the time they are done reading the book.- This book attempts to cover all the aspects of query optimization. However, since it is not a textbook and just covers advanced optimization techniques, an adequate amount of background knowledge may be expected from the readers.By the end of this book, readers will have a greater understanding of databases and understand all the considerations of efficient use of databases. The contents of this book will equip readers with the capability to practically apply the given concepts for efficient querying. Take your database career to the next level!
PostgreSQL 15 Cookbook
If you're a PostgreSQL database administrator looking for a comprehensive guide to managing your databases, look no further than the PostgreSQL 15 Cookbook. With 100 ready solutions to common database management challenges, this book provides a complete guide to administering and troubleshooting your databases using latest PostgreSQL 15.Starting with cloud provisioning and migration, the book covers all aspects of database administration, including replication, transaction logs, partitioning, sharding, auditing, realtime monitoring, backup, recovery, and error debugging. Each solution is presented in a clear, easy-to-follow format, using a real database called 'adventureworks' to provide an on-job practicing experience.Throughout the book, you'll learn how to use tools like pglogical, pgloader, WAL, repmgr, Patroni, HAProxy, PgBouncer, pgBackRest, pgAudit and Prometheus, gaining valuable experience and expertise in managing your databases. With its focus on practical solutions and real-world scenarios, the PostgreSQL 15 Cookbook is an essential resource for any PostgreSQL database administrator. Whether you're just starting out or you're a seasoned pro, this book has everything you need to keep your databases running smoothly and efficiently.Key LearningsStreamline your PostgreSQL databases with cloud provisioning and migration techniquesOptimize performance and scalability through effective replication, partitioning, and shardingSafeguard your databases with robust auditing, backup, and recovery strategiesMonitor your databases in real-time with powerful tools like pgAudit, Prometheus, and PatroniTroubleshoot errors and debug your databases with expert techniques and best practicesBoost your productivity and efficiency with advanced tools like pglogical, pgloader, and HAProxy.With the PostgreSQL 15 Cookbook as your guide, you'll gain valuable insights and expertise in managing your PostgreSQL databases, while learning practical solutions to common database management challenges. Whether you're a novice or an experienced PostgreSQL administrator, this book has everything you need to take your database management skills to the next level and become a PostgreSQL expert.Table of ContentGetting PostgreSQL 15 ReadyPerforming Basic PostgreSQL OperationsPostgreSQL Cloud ProvisioningDatabase Migration to Cloud and PostgreSQLWAL, AutoVacuum & ArchiveLogPartitioning and Sharding StrategiesSolving Replication, Scalability & High AvailabilityBlob, JSON Query, CAST Operator & ConnectionsAuthentication, Audit & EncryptionImplementing Database Backup StrategiesExploring Database Recovery & Restoration MethodsPrometheus & Continuous MonitoringDebugging PostgreSQLAudienceThis book is ideal for database administrators, developers, and IT professionals who are responsible for managing and troubleshooting PostgreSQL databases. It is also suitable for beginners looking to learn more about PostgreSQL administration and best practices.
Web Engineering
This book constitutes the refereed proceedings of the 23rd International Conference on Web Engineering, ICWE 2023, held in Alicante, Spain, during June 6-9, 2023. The 18 revised full papers and 7 short papers presented in this book were carefully reviewed and selected from 77 submissions. They are organized in topical sections named: architecting the web in the cloud continuum; machine learning for web engineering; IoT and WoT engineering; user privacy engineering; user behaviour characterization; user centered technologies; tools and techniques for advanced web engineering; and web engineering practices and experiences.
Platform and Model Design for Responsible AI
Craft ethical AI projects with privacy, fairness, and risk assessment features for scalable and distributed systems while maintaining explainability and sustainabilityPurchase of the print or Kindle book includes a free PDF eBookKey Features: Learn risk assessment for machine learning frameworks in a global landscapeDiscover patterns for next-generation AI ecosystems for successful product designMake explainable predictions for privacy and fairness-enabled ML trainingBook Description: AI algorithms are ubiquitous and used for tasks, from recruiting to deciding who will get a loan. With such widespread use of AI in the decision-making process, it's necessary to build an explainable, responsible, transparent, and trustworthy AI-enabled system. With Platform and Model Design for Responsible AI, you'll be able to make existing black box models transparent.You'll be able to identify and eliminate bias in your models, deal with uncertainty arising from both data and model limitations, and provide a responsible AI solution. You'll start by designing ethical models for traditional and deep learning ML models, as well as deploying them in a sustainable production setup. After that, you'll learn how to set up data pipelines, validate datasets, and set up component microservices in a secure and private way in any cloud-agnostic framework. You'll then build a fair and private ML model with proper constraints, tune the hyperparameters, and evaluate the model metrics.By the end of this book, you'll know the best practices to comply with data privacy and ethics laws, in addition to the techniques needed for data anonymization. You'll be able to develop models with explainability, store them in feature stores, and handle uncertainty in model predictions.What You Will Learn: Understand the threats and risks involved in ML modelsDiscover varying levels of risk mitigation strategies and risk tiering toolsApply traditional and deep learning optimization techniques efficientlyBuild auditable and interpretable ML models and feature storesUnderstand the concept of uncertainty and explore model explainability toolsDevelop models for different clouds including AWS, Azure, and GCPExplore ML orchestration tools such as Kubeflow and Vertex AIIncorporate privacy and fairness in ML models from design to deploymentWho this book is for: This book is for experienced machine learning professionals looking to understand the risks and leakages of ML models and frameworks, and learn to develop and use reusable components to reduce effort and cost in setting up and maintaining the AI ecosystem.
Group Decision and Negotiation in the Era of Multimodal Interactions
This book constitutes the refereed proceedings of the 23rd International Conference on Group Decision and Negotiation, GDN 2023, which took place in Tokyo, Japan during June 11-15, 2023.The field of Group Decision and Negotiation focuses on decision processes with at least two participants and a common goal but conflicting individual goals. Research areas of Group Decision and Negotiation include electronic negotiations, experiments, the role of emotions in group decision and negotiations, preference elicitation and decision support for group decisions and negotiations, and conflict resolution principles. This year's conference focusses on multimodal interactions. The 11 full papers presented in this volume were carefully reviewed and selected from 102 submissions. They were organized in the following topical sections: Taking a step back: Critically re-examining technology interactions with group decision and negotiation; preference modeling and multi-criteria decision-making;and conflict modeling and distributive mechanisms.
Learning Opentelemetry
OpenTelemetry is a revolution in observability data. Instead of running multiple uncoordinated pipelines, OpenTelemetry provides users with a single integrated stream of data, providing multiple sources of high-quality telemetry data: tracing, metrics, logs, RUM, eBPF, and more. This practical guide shows you how to set up, operate, and troubleshoot the OpenTelemetry observability system. Authors Austin Parker, head of developer relations at Lightstep and OpenTelemetry Community Maintainer, and Ted Young, cofounder of the OpenTelemetry project, cover every OpenTelemetry component, as well as observability best practices for many popular cloud, platform, and data services such as Kubernetes and AWS Lambda. You'll learn how OpenTelemetry enables OSS libraries and services to provide their own native instrumentation--a first in the industry. Ideal for application developers, OSS maintainers, operators and infrastructure teams, and managers and team leaders, this book guides you through: The principles of modern observability All OpenTelemetry components--and how they fit together A practical approach to instrumenting platforms and applications Methods for installing, operating, and troubleshooting an OpenTelemetry-based observability solution Ways to roll out and maintain end-to-end observability across a large organization How to write and maintain consistent, high-quality instrumentation without a lot of work
Dashboarding with Tableau
Empower yourself by desgining interactive dashboards in Tableau.This book comes with downloadable code files and colored images. Key Features: In-depth end-to-end knowledge on Tableau Desktop150+ step-by-step exercises to follow alongCover data load, relationships, joins, and visualization techniquesDives deep into Calculations and FunctionsIncludes new features of Tableau 2023.1Step-by-Step guide to learning TableauDashboarding with Tableau covers how to load data and create visualizations.The book includes all the concepts and provides step-by-step exercises to practice.The book begins with basic concepts of Tableau and how Tableau assists in Business Intelligence. It takes deep dive into loading, transforming, and combining data. Readers will also learn about different types of calculations in Tableau.The book illustrates how to create different types of visualizations and assimilate them into an interactive dashboard. The book starts with basics and steers the reader to advanced concepts. Who this book forThis book is a must-have for aspiring Tableau developers, BI analysts, Data explorers, and other data enthusiasts who wants to acquire deeper data insights. No prior knowledge of Tableau or advanced IT concepts are requried for this book. A basic familiarity with MS-Excel will be helpful. Table of contentsGetting StartedThe Data PaneData TransformationCombining DataCalculations in TableauTable and LOD CalculationsDate FunctionsFilters and ParametersSortingGroups, Sets and BinsMapsVisualization Part - 1Visualization Part - 2Dashboards
Developing Robust Date and Time Oriented Applications in Oracle Cloud
Create robust temporal solutions in Oracle Cloud and spread the solution worldwide by leveraging its regional properties and time zone synchronizationPurchase of the print or Kindle book includes a free PDF eBookKey Features: Migrate existing on-premises applications to the Oracle Cloud environment using data migration techniquesHandle date and time values efficiently using Oracle database's available data types and duration modeling principlesApply temporal database models in real-world systems to ensure robustness, security, and performanceBook Description: Proper date and time management is critical for the development and reliability of Oracle databases and cloud environments, which are among the most rapidly expanding technologies today. This knowledge can be applied to cloud technology, on premises, application development, and integration to emphasize regional settings, UTC coordination, or different time zones. This practical book focuses on code snippets and discusses the existing functionalities and limitations, along with covering data migration to the cloud by emphasizing the importance of proper date and time management.This book helps you understand the historical background and evolution of ANSI standards. You'll get to grips with data types, constructor principles, and existing functionalities, and focus on the limitations of regional parameters and time zones, which help in expanding business to other parts of the world. You'll also explore SQL injection threats, temporal database architecture, using Flashback Technology to reconstruct valid database images from the past, time zone management, and UTC synchronization across regions.By the end of this book, you'll be able to create and manage temporal systems, prevent SQL injection attacks, use existing functionalities and define your own robust solutions for date management, and apply time zone and region rules.What You Will Learn: Explore the fundamentals and terms related to Oracle Cloud Infrastructure (OCI) and data migrationFollow core principles and date and time element management supervised by ANSI standardizationDiscover the limitations of existing functionalities and conversion methodsBuild robust and secure temporal solutions that are resistant to SQL injection threatsUnderstand time zone management and regional settings by focusing on regional and national conventions and approachesUse Flashback Technology to create temporal models in terms of historical and current statesWho this book is for: This book is for IT specialists, students, system developers, database administrators, and cloud integrators. With a hands-on approach, this book will help you to gain a comprehensive view of the issue of time processing and enable you to develop complex, robust applications that are usable and portable in any region.
An Introduction to R
The modern world is awash with data. The R Project is a statistical environment and programming language that can help to make sense of it all. A huge open-source project, R has become enormously popular because of its power and flexibility. With R you can organise, analyse and visualise data. This clear and methodical book will help you learn how to use R from the ground up, giving you a start in the world of data science.Learning about data is important in many academic and business settings, and R offers a potent and adaptable programming toolbox. The book covers a range of topics, including: importing/exporting data, summarising data, visualising data, managing and manipulating data objects, data analysis (regression, ANOVA and association among others) and programming functions. Regardless of your background or specialty, you'll find this book the perfect primer on data analysis, data visualisation and data management, and a springboard for further exploration.
Integration of Constraint Programming, Artificial Intelligence, and Operations Research
This book constitutes the proceedings of the 20th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, CPAIOR 2022, held in Nice, France, during May 29-June 1, 2023. The 26 full papers and the 6 short papers presented in this book were carefully reviewed and selected from a total of 71 submissions. The content of the papers present new techniques or new applications, and provide an opportunity for researchers in one area to learn about techniques in the others. Besides they give researchers the opportunity to show how the integration of techniques from different fields can lead to interesting results on large and complex problems.
Research Challenges in Information Science: Information Science and the Connected World
This book constitutes the proceedings of the 17th International Conference on Research Challenges in Information Sciences, RCIS 2023, which took place in Corfu, Greece, during May 23-26, 2023. It focused on the special theme "Information Science and the Connected World".The scope of RCIS is summarized by the thematic areas of information systems and their engineering; user-oriented approaches; data and information management; business process management; domain-specific information systems engineering; data science; information infrastructures, and reflective research and practice. The 28 full papers presented in this volume were carefully reviewed and selected from a total of 87 submissions. The book also includes 15 Forum papers and 6 Doctoral Consortium papers. The contributions were organized in topical sections named: Requirements; conceptual modeling and ontologies; machine learning and analytics; conceptual modeling and semantic networks; business process design and computing in the continuum; requirements and evaluation; monitoring and recommending; business process analysis and improvement; user interface and experience; forum papers; doctoral consortium papers. Two-page abstracts of the tutorials can be found in the back matter of the volume.
Vector Semantics
Contents​Preface............................................................... vii 1 Foundations of non-compositionality................................. 1.1 Background ................................................... 1.2 Lexicographic principles ........................................ 1.3 The syntax of definitions ........................................ 1.4 The geometry of definitions...................................... 1.5 The algebra of definitions ....................................... 2 From morphology to syntax ........................................ 23 2.1 Lexical categories and subcategories .............................. 23 2.2 Bound morphemes ............................................. 25 2.3 Relations ..................................................... 30 2.4 Linking....................................................... 39 2.5 Naive grammar ................................................ 46 3 Time and space.................................................... 53 3.1 Space ........................................................ 54 3.2 Time ......................................................... 59 3.3 Indexicals, coercion ............................................ 62 3.4 Measure ...................................................... 65 4 Negation.......................................................... 69 4.1 Negation in the lexicon.......................................... 71 4.2 Quantifiers .................................................... 73 4.3 Negation in compositional constructions ........................... 74 4.4 Double negation ............................................... 77 4.5 Compositional quantifiers ....................................... 78 4.6 Disjunction ................................................... 80 4.7 Scope ambiguities.............................................. 81 4.8 Conclusions ................................................... 82 5 Valuations ........................................................ 83 5.1 Introduction ................................................... 83 5.2 The likeliness scale............................................. 84 5.3 Naive inference (likeliness update) ................................ 86 5.4 Learning...................................................... 89 5.5 Conclusions ................................................... 91 6 Modality ......................................................... 93 6.1 The deontic world .............................................. 93 6.2 Epistemic and autoepistemic logic ................................ 93 6.3 Defaults ...................................................... 93 7 Adjectives, gradience, implicature ................................... 95 7.1 Adjectives .................................................... 95 7.2 Gradience..................................................... 96 7.3 Implicature.................................................... 96 7.4 The elementary pieces .......................................... 97 7.5 The mechanism ................................................ 100 7.6 Memory ...................................................... 103 7.7 Conclusions ................................................... 104 8 Trainability and real-world knowledge............................... 107 8.1 Proper names.................................................. 107 8.2 Trainability ................................................... 109 9 Dynamic
Ethics and Responsible Research and Innovation in Practice
This Open Access book aims to present practical contributions to the ethics governance framework, the conceptualization and characteristics of ethics tools, as well as the experience gained from their application in different institutions.Its main objective is to provide a practical and useful guide that will help other institutions to start introducing Research Ethics effectively in their organizations. The European initiative ETHNA System has designed an ethics governance framework that can be implemented following specific guidelines and tools that can help different types of institutions to promote and generate responsible research and innovation.The papers included in this book were organized in topical sections as follows: foundations; experiences and lessons learned; ethics tools in practice; and looking into the future: main challenges.
Learning Technologies and Systems
This book constitutes the refereed conference proceedings of the 21st International Conference on Web-Based Learning, ICWL 2022 and 7th International Symposium on Emerging Technologies for Education, SETE 2022, held in Tenerife, Spain in November 21-23, 2022. The 45 full papers and 5 short papers included in this book were carefully reviewed and selected from 82 submissions. The topics proposed in the ICWL&SETE Call for Papers included several relevant issues, ranging from Semantic Web for E-Learning, through Learning Analytics, Computer-Supported Collaborative Learning, Assessment, Pedagogical Issues, E-learning Platforms, and Tools, to Mobile Learning.In addition to regular papers, ICWL&SETE 2022 also featured a set of special workshops and tracks: The 5th International Workshop on Educational Technology for Language Learning (ETLL 2022), The 6th International Symposium on User Modeling and Language Learning (UMLL 2022), Digitalization in Language and Cross-Cultural Education, First Workshop on Hardware and software systems as enablers for lifelong learning (HASSELL).
Spatial Data and Intelligence
This book constitutes the refereed proceedings of the 4th International Conference on Spatial Data and Intelligence, SpatialDI 2023, held in Nanchang, China, in April 13-15, 2023.The 18 full papers included in this book were carefully reviewed and selected from 68 submissions. They were organized in topical sections as follows: traffic management; visualization analysis; spatial big data analysis; spatiotemporal data mining; spatiotemporal data storage; and metaverse.
