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. Further, capabilities of big data systems also vary with respect to type of problems. For instance, distributed memory systems are not recommended for iterative algorithms. Similarly, variations in big data systems also exist related to consistency and fault tolerance. The purpose of this book is to provide a detailed explanation of big data systems. The book covers various topics including Networking, Security, Privacy, Storage, Computation, Cloud Computing, NoSQL and NewSQL systems, High Performance Computing, and Deep Learning. An illustrative and practical approach has been adopted in which theoretical topics have been aided by well-explained programming and illustrative examples.Key Features: Introduces concepts and evolution of Big Data technology. Illustrates examples for thorough understanding. Contains programming examples for hands on development. Explains a variety of topics including NoSQL Systems, NewSQL systems, Security, Privacy, Networking, Cloud, High Performance Computing, and Deep Learning. Exemplifies widely used big data technologies such as Hadoop and Spark. Includes discussion on case studies and open issues. Provides end of chapter questions for enhanced learning.
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
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.
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?
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.
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.
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.
How to Use Microsoft Access 2016
How to Use Microsoft Access 2016 *** A basic guide with step-by-step instructions for the complete beginner This easy to follow ebook / book helps employees, engineer, students, teachers and parents wanting their children to get a head start in their use of Database software. This ebook / book shows you how to use the basic tasks in Microsoft Access 2016 such as creating queries, tables, reports, macro, module, charts and forms. This simple step - by - step tutorial introduces you to the main functions of databases using Microsoft Access 2016. The book is divided into clear sections that demonstrate the separate skills that you can follow at your own pace.
HTML and CSS
Web developers--this is your all-in-one guide to HTML and CSS! Learn to use HTML to format text and structure web pages. Understand the HTML document skeleton before creating forms, referencing hyperlinks, embedding active content, and more. Then style your pages with CSS: Create consistent designs with selectors, the box model, the cascade algorithm, and inheritance. Round out your client-side development experience by getting to know JavaScript. With detailed code examples, you'll master HTML and CSS in no time! a. HTML for Formatting and Structure Master HTML syntax and document structure. Work with tags, elements, and attributes to build HTML documents. Create tables and forms, embed images, configure links, and develop interactive HTML elements. b. CSS for Style and Design Develop simple and complex web layouts with CSS rules, selectors, declarations, combinators, pseudoclasses, and pseudoelements. Understand the principles of cascading, specificity, and inheritance. Learn to use the CSS box model, the position property, and more. c. JavaScript Fundamentals Expand your knowledge with an introduction to JavaScript. See how to use variables, statements, functions, arrays, and objects to write and run simple programs. Explore the basics of Ajax for interactive web application design. Highlights: HTML syntax and structure HTML elements Tables, links, and images HTML forms CSS selectors Cascade and inheritance CSS box model CSS preprocessors Responsive layout design Testing JavaScript Ajax
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.
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
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.
Data-Enabled Approaches for Enhancing the Air Force Transformational Capability Pipeline
The Air Force Transformational Capabilities Office aims to foster capabilities across initiatives. To show how human-centered, data-enhanced decision processes can be used to determine which concepts to advance into the capability pipeline, the authors used a multimethod qualitative approach and developed a data science tool to extract information from free-text descriptions. They demonstrate the tool and foresight methods in three case studies.
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
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.
Recent Advances in Wavelet Transforms and Their Applications
Today, more sophisticated techniques are necessary for spectral analysis, reconstruction, restoration of signals, their digital and analogic processing, specialized signal diagnostics, and short intervals with occurrences that require greater speed and precision. As the frequency domain of the wavelet transform gets more detailed and considerably more specific in various applications, it necessitates specialized scholarly attention in its many forms and relationships with other transforms with special functions. For example, using the wavelet transform with special functions can prove valuable in creating and designing special signal filters or the interphase between reception-emission devices with specialized sensors for medical use. In quantum phenomena, its corresponding version of the wavelet transform is instrumental in the spectral study of particles and their correlation. Therefore, using specialists' and experts' views, this book delves into an exposition on spectral analysis, restoring, monitoring, and signal processing, as well as essential applications required in waveguides and for the improvement of medical images, proving the wavelet transform to be helpful in resolution analysis in time-frequency, with an emphasis on different methods of the calculus using FFT and DSTFT. This book has been divided into four sections covering all the abovementioned subjects.
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.
Integer Programming and Combinatorial Optimization
This book constitutes the refereed proceedings of the 24th International Conference on Integer Programming and Combinatorial Optimization, IPCO 2023, held in Madison, WI, USA, during June 21-23, 2023. The 33 full papers presented were carefully reviewed and selected from 119 submissions. IPCO is under the auspices of the Mathematical Optimization Society, and it is an important forum for presenting present recent developments in theory, computation, and applications. The scope of IPCO is viewed in a broad sense, to include algorithmic and structural results in integer programming and combinatorial optimization as well as revealing computational studies and novel applications of discrete optimization to practical problems.
Computer Science and Education
This three-volume set constitues selected papers presented during the 17th International Conference on Computer Science and Education, ICCSE 2022, held in Ningbo, China, in August 2022.The 168 full papers and 43 short papers presented were thoroughly reviewed and selected from the 510 submissions. They focus on a wide range of computer science topics, especially AI, data science, and engineering, and technology-based education, by addressing frontier technical and business issues essential to the applications of data science in both higher education and advancing e-Society.
Computer Science and Education
This three-volume set constitues selected papers presented during the 17th International Conference on Computer Science and Education, ICCSE 2022, held in Ningbo, China, in August 2022.The 168 full papers and 43 short papers presented were thoroughly reviewed and selected from the 510 submissions. They focus on a wide range of computer science topics, especially AI, data science, and engineering, and technology-based education, by addressing frontier technical and business issues essential to the applications of data science in both higher education and advancing e-Society.
Computer Science and Education
This three-volume set constitues selected papers presented during the 17th International Conference on Computer Science and Education, ICCSE 2022, held in Ningbo, China, in August 2022.The 168 full papers and 43 short papers presented were thoroughly reviewed and selected from the 510 submissions. They focus on a wide range of computer science topics, especially AI, data science, and engineering, and technology-based education, by addressing frontier technical and business issues essential to the applications of data science in both higher education and advancing e-Society.
Advances in Intelligent Data Analysis XXI
This book constitutes the proceedings of the 21st International Symposium on Intelligent Data Analysis, IDA 2022, which was held in Louvain-la-Neuve, Belgium, during April 12-14, 2023. The 38 papers included in this book were carefully reviewed and selected from 91 submissions. IDA is an international symposium presenting advances in the intelligent analysis of data. Distinguishing characteristics of IDA are its focus on novel, inspiring ideas, its focus on research, and its relatively small scale.
Evolutionary Computation in Combinatorial Optimization
This book constitutes the refereed proceedings of the 23rd European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2023, held as part of Evo*2023, in Brno, Czech Republic in April 2023, co-located with the Evo*2023 events: EvoMUSART, EvoApplications, and EuroGP.The 15 revised full papers presented in this book were carefully reviewed and selected from 32 submissions. They present recent theoretical and experimental advances in combinatorial optimization, evolutionary algorithms, and related research fields.
Privacy Protection in Big Data Analytics
Privacy protection in big data analytics refers to the process of safeguarding the privacy and confidentiality of sensitive information in large datasets, while still allowing for the extraction of valuable insights and patterns from the data. Big data analytics involves the use of advanced algorithms and technologies to analyze vast amounts of data, often containing personal or sensitive information, to gain insights and make informed decisions.However, as more and more data is collected and analyzed, there is an increasing risk of privacy breaches and data misuse. To address this challenge, privacy protection techniques such as data anonymization, encryption, and access controls are used to ensure that sensitive information is protected from unauthorized access or disclosure.Data anonymization involves the removal or modification of personally identifiable information (PII) from the dataset, while still retaining its usefulness for analysis. Encryption involves encoding the data in a way that can only be deciphered with a key, ensuring that only authorized users can access it. Access controls restrict access to the data to only those who need it for legitimate purposes.Privacy protection in big data analytics is crucial for maintaining trust between data owners and users, protecting individual privacy rights, and complying with regulatory requirements
Forecasting Time Series Data with Prophet - Second Edition
Create and improve fully automated forecasts for time series data with strong seasonal effects, holidays, and additional regressors using PythonPurchase of the print or Kindle book includes a free PDF eBookKey Features: Explore Prophet, the open source forecasting tool developed at Meta, to improve your forecastsCreate a forecast and run diagnostics to understand forecast qualityFine-tune models to achieve high performance and report this performance with concrete statisticsBook Description: Forecasting Time Series Data with Prophet will help you to implement Prophet's cutting-edge forecasting techniques to model future data with high accuracy using only a few lines of code. This second edition has been fully revised with every update to the Prophet package since the first edition was published two years ago. An entirely new chapter is also included, diving into the mathematical equations behind Prophet's models. Additionally, the book contains new sections on forecasting during shocks such as COVID, creating custom trend modes from scratch, and a discussion of recent developments in the open-source forecasting community.You'll cover advanced features such as visualizing forecasts, adding holidays and trend changepoints, and handling outliers. You'll use the Fourier series to model seasonality, learn how to choose between an additive and multiplicative model, and understand when to modify each model parameter. Later, you'll see how to optimize more complicated models with hyperparameter tuning and by adding additional regressors to the model. Finally, you'll learn how to run diagnostics to evaluate the performance of your models in production.By the end of this book, you'll be able to take a raw time series dataset and build advanced and accurate forecasting models with concise, understandable, and repeatable code.What You Will Learn: Understand the mathematics behind Prophet's modelsBuild practical forecasting models from real datasets using PythonUnderstand the different modes of growth that time series often exhibitDiscover how to identify and deal with outliers in time series dataFind out how to control uncertainty intervals to provide percent confidence in your forecastsProductionalize your Prophet models to scale your work faster and more efficientlyWho this book is for: This book is for business managers, data scientists, data analysts, machine learning engineers, and software engineers who want to build time-series forecasts in Python or R. To get the most out of this book, you should have a basic understanding of time series data and be able to differentiate it from other types of data. Basic knowledge of forecasting techniques is a plus.
Navigating Big Data Analytics
More organizations and their leaders are looking to big data to transform processes and elevate the quality of products and services. Yet, gathering and storing large amounts of data isn't the quick fix often sought after. Without analysts-the human component-to interpret that data, the cost of incorrect or misinterpreted data can greatly impact organizations. In this book, William Mawby examines the claims of big data analysis in detail. Using examples to illustrate potential problems that may lead to inefficient and inaccurate results, Mawby helps practitioners avoid potential pitfalls and offers application methods to incorporate big data analytics into your company that will enhance your analytic efforts. William D. Mawby, Ph.D. has extensive consulting, teaching, and project experience and has taught more than 200 courses on many subjects in statistics and mathematics. He is currently writing, teaching courses on climate change and big data, and volunteering at the American Association for the Advancement of Science and the Union of Concerned Scientists.
Advanced Hybrid Information Processing
This two-volume set constitutes the post-conference proceedings of the 6th EAI International Conference on Advanced Hybrid Information Processing, ADHIP 2022, held in Changsha, China, in September 29-30, 2022. The 109 full papers presented were selected from 276 submissions and focus on theory and application of hybrid information processing technology for smarter and more effective research and application. The theme of ADHIP 2022 was Hybrid Information Processing in Meta World. The papers are named in topical sections as follows: Information Extracting and Processing in Digital World; Education Based methods in Learning and Teaching; Various Systems for Digital World.
Introduction to Systems Biology
This book is an introduction to the language of systems biology, which is spoken among many disciplines, from biology to engineering. Authors Thomas Sauter and Marco Albrecht draw on a multidisciplinary background and evidence-based learning to facilitate the understanding of biochemical networks, metabolic modeling and system dynamics.Their pedagogic approach briefly highlights core ideas of concepts in a broader interdisciplinary framework to guide a more effective deep dive thereafter. The learning journey starts with the purity of mathematical concepts, reveals its power to connect biological entities in structure and time, and finally introduces physics concepts to tightly align abstraction with reality.This workbook is all about self-paced learning, supports the flipped-classroom concept, and kick-starts with scientific evidence on studying. Each chapter comes with links to external YouTube videos, learning checklists, and Integrated real-world examples to gain confidence in thinking across scientific perspectives. The result is an integrated approach that opens a line of communication between theory and application, enabling readers to actively learn as they read.This overview of capturing and analyzing the behavior of biological systems will interest adherers of systems biology and network analysis, as well as related fields such as bioinformatics, biology, cybernetics, and data science.
Big Data Analytics in Astronomy, Science, and Engineering
This book constitutes the proceedings of the 10th International Conference on Big Data Analytics, BDA 2022, which took place in a hybrid mode during December 2022 in Aizu, Japan.The 14 full papers included in this volume were carefully reviewed and selected from 70 submissions. They were organized in topical sections as follows: big data analytics, networking, social media, search, information extraction, image processing and analysis, spatial, text, mobile and graph data analysis, machine learning, and healthcare.
Introduction to Systems Biology
This book is an introduction to the language of systems biology, which is spoken among many disciplines, from biology to engineering. Authors Thomas Sauter and Marco Albrecht draw on a multidisciplinary background and evidence-based learning to facilitate the understanding of biochemical networks, metabolic modeling and system dynamics.Their pedagogic approach briefly highlights core ideas of concepts in a broader interdisciplinary framework to guide a more effective deep dive thereafter. The learning journey starts with the purity of mathematical concepts, reveals its power to connect biological entities in structure and time, and finally introduces physics concepts to tightly align abstraction with reality.This workbook is all about self-paced learning, supports the flipped-classroom concept, and kick-starts with scientific evidence on studying. Each chapter comes with links to external YouTube videos, learning checklists, and Integrated real-world examples to gain confidence in thinking across scientific perspectives. The result is an integrated approach that opens a line of communication between theory and application, enabling readers to actively learn as they read.This overview of capturing and analyzing the behavior of biological systems will interest adherers of systems biology and network analysis, as well as related fields such as bioinformatics, biology, cybernetics, and data science.
Artificial Intelligence: Theories and Applications
This volume constitutes selected papers presented at the First International Conference on Artificial Intelligence: Theories and Applications, ICAITA 2022, held in Mascara, Algeria, in November 2022. The 23 papers were thoroughly reviewed and selected from the 66 qualified submissions. They are organized in topical sections on ​artificial vision; and articial intelligence in big data and natural language processing.
Machine Learning and Knowledge Discovery in Databases
The multi-volume set LNAI 13713 until 13718 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2022, which took place in Grenoble, France, in September 2022.The 236 full papers presented in these proceedings were carefully reviewed and selected from a total of 1060 submissions. In addition, the proceedings include 17 Demo Track contributions. The volumes are organized in topical sections as follows: Part I: Clustering and dimensionality reduction; anomaly detection; interpretability and explainability; ranking and recommender systems; transfer and multitask learning; Part II: Networks and graphs; knowledge graphs; social network analysis; graph neural networks; natural language processing and text mining; conversational systems; Part III: Deep learning; robust and adversarial machine learning; generative models; computer vision; meta-learning, neural architecture search; Part IV: Reinforcement learning; multi-agent reinforcement learning; bandits and online learning; active and semi-supervised learning; private and federated learning; . Part V: Supervised learning; probabilistic inference; optimal transport; optimization; quantum, hardware; sustainability; Part VI: Time series; financial machine learning; applications; applications: transportation; demo track.
