The Semantic Web - ISWC 2021
This book constitutes the proceedings of the 20th International Semantic Web Conference, ISWC 2021, which took place in October 2021. Due to COVID-19 pandemic the conference was held virtually. The papers included in this volume deal with the latest advances in fundamental research, innovative technology, and applications of the Semantic Web, linked data, knowledge graphs, and knowledge processing on the Web. Papers are organized in a research track, resources and in-use track. The research track details theoretical, analytical and empirical aspects of the Semantic Web and its intersection with other disciplines. The resources track promotes the sharing of resources which support, enable or utilize semantic web research, including datasets, ontologies, software, and benchmarks. And finally, the in-use-track is dedicated to novel and significant research contributions addressing theoretical, analytical and empirical aspects of the Semantic Web and its intersection with other disciplines.
Applied Informatics
This book constitutes the thoroughly refereed papers of the 4th International Conference on Applied Informatics, ICAI 2021, held in Buenos Aires, Argentina, in October, 2021.The 35 full papers were carefully reviewed and selected from 89 submissions. The papers are organized in topical sections on artificial intelligence; data analysis; decision systems; health care information systems; image processing; security services; simulation and emulation; smart cities; software and systems modeling; software design engineering.
Big Data Analytics and Artificial Intelligence Against COVID-19
This book includes research articles and expository papers on the applications of artificial intelligence and big data analytics to battle the pandemic. In the context of COVID-19, this book focuses on how big data analytic and artificial intelligence help fight COVID-19. The book is divided into four parts. The first part discusses the forecasting and visualization of the COVID-19 data. The second part describes applications of artificial intelligence in the COVID-19 diagnosis of chest X-Ray imaging. The third part discusses the insights of artificial intelligence to stop spread of COVID-19, while the last part presents deep learning and big data analytics which help fight the COVID-19.
The Analytic Detective
Following the clues that lead to increased sales or greater profits takes more than uncovering big data. Without effective data translation and communication, even the most sophisticated analytic effort can end in confusion - and your data insights won't impact company decision making.With practical advice for every data analyst, this is your guide to navigating all aspects of client interaction and communicating straightforward solutions to affect company-wide change - from the back room to the board room. You'll learn: How to hit the Analytic Trifecta to ensure you're producing useful findings.How to design a clear story that summarizes business analytics.Different analyst behaviors for the 10 specific client types.Strategies to employ when a client challenges your analysis.How successful analysts get their work noticed. Become an irreplaceable analytic asset to your team. Get The Analytic Detective to start collaborating for more data-fueled results and more recognition in your career.
Discriminating Data
How big data and machine learning encode discrimination and create agitated clusters of comforting rage. In Discriminating Data, Wendy Hui Kyong Chun reveals how polarization is a goal--not an error--within big data and machine learning. These methods, she argues, encode segregation, eugenics, and identity politics through their default assumptions and conditions. Correlation, which grounds big data's predictive potential, stems from twentieth-century eugenic attempts to "breed" a better future. Recommender systems foster angry clusters of sameness through homophily. Users are "trained" to become authentically predictable via a politics and technology of recognition. Machine learning and data analytics thus seek to disrupt the future by making disruption impossible. Chun, who has a background in systems design engineering as well as media studies and cultural theory, explains that although machine learning algorithms may not officially include race as a category, they embed whiteness as a default. Facial recognition technology, for example, relies on the faces of Hollywood celebrities and university undergraduates--groups not famous for their diversity. Homophily emerged as a concept to describe white U.S. resident attitudes to living in biracial yet segregated public housing. Predictive policing technology deploys models trained on studies of predominantly underserved neighborhoods. Trained on selected and often discriminatory or dirty data, these algorithms are only validated if they mirror this data. How can we release ourselves from the vice-like grip of discriminatory data? Chun calls for alternative algorithms, defaults, and interdisciplinary coalitions in order to desegregate networks and foster a more democratic big data.
Smart Cities, Green Technologies, and Intelligent Transport Systems
This book includes extended and revised selected papers from the 9th International Conference on Smart Cities and Green ICT Systems, SMARTGREENS 2020, and the 6th International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2020, held in Prague, Czech Republic, in May 2020. The 30 full papers presented during SMARTGREENS and VEHITS 2020 were carefully reviewed and selected from the 117 submissions. The papers present research on advances and applications in the fiels of smart cities, electric vehicles, sustainable computing and communications, energy aware systems and technologies, intelligent vehicle technologies, intelligent transport systems and infrastructure, connected vehicles.
Blockchain
You have heard the term blockchain, but what is it really? Based on some of the content from his Executive Blockchain course you can learn what is taught to executives, consultants, leaders, attorneys, marketing specialists, educators, etc. around the world to understand and apply blockchain concepts for real-world use. This the most up-to-date executive blockchain book on the market.Wayne consults as an Associate Expert at the Nordic Blockchain Association in Copenhagen
Algorithms on Trees and Graphs
This book introduces graph algorithms on an intuitive basis followed by a detailed exposition in a literate programming style, with correctness proofs as well as worst-case analyses. Full C++ implementations of all algorithms presented are given using the LEDA library of efficient data structures and algorithms.
Application of Big Data, Blockchain, and Internet of Things for Education Informatization
This two-volume set constitutes the refereed proceedings of the First International Conference International Conference on Application of Big Data, Blockchain, and Internet of Things for Education Informatization. The conference was held in August 2021 and due to COVID-19 pandemic virtually.The 99 revised full papers and 45 short papers have been selected from 503 submissions. The papers describe research fields such as "big data" and "information education". The aim of the conference is to provide international cooperation and exchange platforms for big data and information education experts, scholars and enterprise developers to share research results, discuss existing problems and challenges, and explore cutting-edge science and technology.
Advances in Computer Graphics
This book constitutes the refereed proceedings of the 38th Computer Graphics International Conference, CGI 2021, held virtually in September 2021.The 44 full papers presented together with 9 short papers were carefully reviewed and selected from 131 submissions. The papers are organized in the following topics: computer animation; computer vision; geometric computing; human poses and gestures; image processing; medical imaging; physics-based simulation; rendering and textures; robotics and vision; visual analytics; VR/AR; and engage.
Algorithmic Combinatorics
The book is centered around the research areas of combinatorics, special functions, and computer algebra. What these research fields share is that many of their outstanding results do not only have applications in Mathematics, but also other disciplines, such as computer science, physics, chemistry, etc. A particular charm of these areas is how they interact and influence one another. For instance, combinatorial or special functions' techniques have motivated the development of new symbolic algorithms. In particular, first proofs of challenging problems in combinatorics and special functions were derived by making essential use of computer algebra. This book addresses these interdisciplinary aspects. Algorithmic aspects are emphasized and the corresponding software packages for concrete problem solving are introduced. Readers will range from graduate students, researchers to practitioners who are interested in solving concrete problems within mathematics and other research disciplines.
Beyond Planar Graphs
Chapter 1: Introduction.- Chapter 2: Quantitative Restrictions on Crossing Patterns.- Chapter 3: Quasi-planar Graphs.- Chapter 4: 1-Planar Graphs.- Chapter 5: Algorithms for 1-planar Graphs.- Chapter 6: ^= 2.- Chapter 8: Fan-Planarity.- Chapter 9: Right Angle Crossing Drawings of Graphs.- Chapter 10: Angular Resolutions.- Chapter 11: Crossing Layout in Non-Planar Graph Drawings.- Chapter 12: Beyond Clustered Planarity.- Chapter: Simultaneous Embedding.
Upper-class English in Natural and Audiovisual Dialogue
This volume deals with the language of the British upper class in natural face-to-face dialogue and how this is rendered fictionally in audiovisual media. Its main aim is that of reorganising the sparse information on the topic that is found in previous scholarly studies through a qualitative methodological approach. After focusing on the linguistic description and evolution of the upper-class sociolect, the study offers original insights on the language of the Royal Family and its representation in the TV series The Crown. The results from this research, which combines the disciplines of sociolinguistics and dialectology applied to the audiovisual text, will hopefully open a new path in the study of language of elite groups in Britain, arguably an under-researched topic.
Communicating with Data
Data is a fantastic raw resource for powering change in an organization, but all too often the people working in those organizations don't have the necessary skills to communicate with data effectively. With this practical book, subject matter experts will learn ways to develop strong, persuasive points when presenting data to different groups in their organizations. Author Carl Allchin shows anyone how to find data sources and develop data analytics, and teaches those with more data expertise how to visualize data to convey findings to key business leaders more effectively. Once both your business and data experts possess the skills to work with data and interpret its significance, you can deal with questions and challenges in departments across your organization. Learn the fundamental data skills required to work with data Use data visualization to influence change in your organization Learn how to apply data techniques to effectively work with data end to end Understand how to communicate data points clearly and persuasively Appreciate why different stakeholders often have divergent needs and views Create a playbook for using data with different departments
Attribute-Based Encryption and Access Control
This book covers a broader scope of Attribute-Based Encryption (ABE), from the background knowledge, to specific constructions, theoretic proofs, and applications. The goal is to provide in-depth knowledge usable for college students and researchers who want to have a comprehensive understanding of ABE schemes and novel ABE-enabled research and applications. The specific focus is to present the development of using new ABE features such as group-based access, ID-based revocation, and attributes management functions such as delegation, federation, and interoperability. These new capabilities can build a new ABE-based Attribute-Based Access Control (ABAC) solution that can incorporate data access policies and control into ciphertext. This book is also ideal for IT companies to provide them with the most recent technologies and research on how to implement data access control models for mobile and data-centric applications, where data access control does not need to rely on a fixed access control infrastructure. It's also of interested to those working in security, to enable them to have the most recent developments in data access control such as ICN and Blockchain technologies.Features Covers cryptographic background knowledge for ABE and ABAC Features various ABE constructions to achieve integrated access control capabilities Offers a comprehensive coverage of ABE-based ABAC Provides ABE applications with real-world examples Advances the ABE research to support new mobile and data-centric applications
Machine Learning Engineering with Python
Supercharge the value of your machine learning models by building scalable and robust solutions that can serve them in production environmentsKey FeaturesExplore hyperparameter optimization and model management toolsLearn object-oriented programming and functional programming in Python to build your own ML libraries and packagesExplore key ML engineering patterns like microservices and the Extract Transform Machine Learn (ETML) pattern with use casesBook DescriptionMachine learning engineering is a thriving discipline at the interface of software development and machine learning. This book will help developers working with machine learning and Python to put their knowledge to work and create high-quality machine learning products and services. Machine Learning Engineering with Python takes a hands-on approach to help you get to grips with essential technical concepts, implementation patterns, and development methodologies to have you up and running in no time. You'll begin by understanding key steps of the machine learning development life cycle before moving on to practical illustrations and getting to grips with building and deploying robust machine learning solutions. As you advance, you'll explore how to create your own toolsets for training and deployment across all your projects in a consistent way. The book will also help you get hands-on with deployment architectures and discover methods for scaling up your solutions while building a solid understanding of how to use cloud-based tools effectively. Finally, you'll work through examples to help you solve typical business problems. By the end of this book, you'll be able to build end-to-end machine learning services using a variety of techniques and design your own processes for consistently performant machine learning engineering.What you will learnFind out what an effective ML engineering process looks likeUncover options for automating training and deployment and learn how to use themDiscover how to build your own wrapper libraries for encapsulating your data science and machine learning logic and solutionsUnderstand what aspects of software engineering you can bring to machine learningGain insights into adapting software engineering for machine learning using appropriate cloud technologiesPerform hyperparameter tuning in a relatively automated wayWho this book is forThis book is for machine learning engineers, data scientists, and software developers who want to build robust software solutions with machine learning components. If you're someone who manages or wants to understand the production life cycle of these systems, you'll find this book useful. Intermediate-level knowledge of Python is necessary.Table of ContentsIntroduction to ML EngineeringThe Machine Learning Development ProcessFrom Model to Model FactoryPackaging UpDeployment Patterns and ToolsScaling UpBuilding an Example ML MicroserviceBuilding an Extract Transform Machine Learning Use Case
Software Architecture: The Hard Parts
There are no easy decisions in software architecture. Instead, there are many hard parts--difficult problems or issues with no best practices--that force you to choose among various compromises. With this book, you'll learn how to think critically about the trade-offs involved with distributed architectures. Architecture veterans and practicing consultants Neal Ford, Mark Richards, Pramod Sadalage, and Zhamak Dehghani discuss strategies for choosing an appropriate architecture. By interweaving a story about a fictional group of technology professionals--the Sysops Squad--they examine everything from how to determine service granularity, manage workflows and orchestration, manage and decouple contracts, and manage distributed transactions to how to optimize operational characteristics, such as scalability, elasticity, and performance. By focusing on commonly asked questions, this book provides techniques to help you discover and weigh the trade-offs as you confront the issues you face as an architect. Analyze trade-offs and effectively document your decisions Make better decisions regarding service granularity Understand the complexities of breaking apart monolithic applications Manage and decouple contracts between services Handle data in a highly distributed architecture Learn patterns to manage workflow and transactions when breaking apart applications
Microsoft Power BI Cookbook - Second Edition
Publisher's note: This edition from 2021 is outdated and does not cover the most recent Power BI updates. A new third edition, updated to the latest release is now available in colorPurchase of the print or Kindle book includes a free eBook in the PDF format.Key Features: - Update your knowledge with new recipes for query optimization, aggregation tables, Power BI API, and paginated reports- Work with recipes across diverse Power BI platforms including the Power BI Service and Mobile Applications- Implement custom solutions with M and DAX languages through actionable guidance and proven development techniquesBook Description: The complete everyday reference guide to Power BI, written by an internationally recognized Power BI expert duo, is back with a new and updated edition.Packed with revised practical recipes, Microsoft Power BI Cookbook, Second Edition, helps you navigate Power BI tools and advanced features. It also demonstrates the use of end-to-end solutions that integrate those features to get the most out of Power BI. With the help of the recipes in this book, you'll gain advanced design and development insight, practical tips, and guidance on enhancing existing Power BI projects.The updated recipes will equip you with everything you need to know to implement evergreen frameworks that will stay relevant as Power BI updates. You'll familiarize yourself with Power BI development tools and services by going deep into the data connectivity, transformation, modeling, visualization, and analytical capabilities of Power BI. By the end of this book, you'll make the most of Power BI's functional programming languages of DAX and M and deliver powerful solutions to common business intelligence challenges.What You Will Learn: - Cleanse, stage, and integrate your data sources with Power Query (M)- Remove data complexities and provide users with intuitive, self-service BI capabilities- Build business logic and analysis into your solutions via the DAX programming language and dashboard-ready calculations- Implement aggregation tables to accelerate query performance over large data sources- Create and integrate paginated reports- Understand the differences and implications of DirectQuery, live connections, Import, and Composite model datasets- Integrate other Microsoft data tools into your Power BI solutionWho this book is for: If you're a BI professional who wants to up their knowledge of Power BI and offer more value to their organization, then this book is for you. Those looking for quick solutions to common Power BI problems will also find this book an extremely useful resource. Please be aware that this is not a beginner's guide; you'll need a solid understanding of Power BI and experience working with datasets before you dive in. Table of Contents- Configuring Power BI Tools- Accessing and Retrieving Data- Building a Power BI Data Model- Authoring Power BI Reports- Working in the Service- Getting Serious with Date Intelligence- Parameterizing Power BI Solutions- Implementing Dynamic User-Based Visibility in Power BI- Applying Advanced Analytics and Custom Visuals- Administering and Monitoring Power BI- Enhancing and Optimizing Existing Power BI Solutions- Deploying and Distributing Power BI Content- Integrating Power BI with Other Applications
Practical Python Data Wrangling and Data Quality
The world around us is full of data that holds unique insights and valuable stories, and this book will help you uncover them. Whether you already work with data or want to learn more about its possibilities, the examples and techniques in this practical book will help you more easily clean, evaluate, and analyze data so that you can generate meaningful insights and compelling visualizations. Complementing foundational concepts with expert advice, author Susan E. McGregor provides the resources you need to extract, evaluate, and analyze a wide variety of data sources and formats, along with the tools to communicate your findings effectively. This book delivers a methodical, jargon-free way for data practitioners at any level, from true novices to seasoned professionals, to harness the power of data. Use Python 3.8+ to read, write, and transform data from a variety of sources Understand and use programming basics in Python to wrangle data at scale Organize, document, and structure your code using best practices Collect data from structured data files, web pages, and APIs Perform basic statistical analyses to make meaning from datasets Visualize and present data in clear and compelling ways
Mastering Apache Pulsar
Every enterprise application creates data, including log messages, metrics, user activity, and outgoing messages. Learning how to move these items is almost as important as the data itself. If you're an application architect, developer, or production engineer new to Apache Pulsar, this practical guide shows you how to use this open source event streaming platform to handle real-time data feeds. Jowanza Joseph, staff software engineer at Finicity, explains how to deploy production Pulsar clusters, write reliable event streaming applications, and build scalable real-time data pipelines with this platform. Through detailed examples, you'll learn Pulsar's design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the load manager, and the storage layer. This book helps you: Understand how event streaming fits in the big data ecosystem Explore Pulsar producers, consumers, and readers for writing and reading events Build scalable data pipelines by connecting Pulsar with external systems Simplify event-streaming application building with Pulsar Functions Manage Pulsar to perform monitoring, tuning, and maintenance tasks Use Pulsar's operational measurements to secure a production cluster Process event streams using Flink and query event streams using Presto
Efficient MySQL Performance
You'll find several books on basic or advanced MySQL performance, but nothing in between. That's because explaining MySQL performance without addressing its complexity is difficult. This practical book bridges the gap by teaching software engineers mid-level MySQL knowledge beyond the fundamentals, but well shy of deep-level internals required by database administrators (DBAs). Daniel Nichter shows you how to apply the best practices and techniques that directly affect MySQL performance. You'll learn how to improve performance by analyzing query execution, indexing for common SQL clauses and table joins, optimizing data access, and understanding the most important MySQL metrics. You'll also discover how replication, transactions, row locking, and the cloud influence MySQL performance. Understand why query response time is the North Star of MySQL performance Learn query metrics in detail, including aggregation, reporting, and analysis See how to index effectively for common SQL clauses and table joins Explore the most important server metrics and what they reveal about performance Dive into transactions and row locking to gain deep, actionable insight Achieve remarkable MySQL performance at any scale
High Performance MySQL
How can you realize MySQL's full power? With High Performance MySQL, you'll learn advanced techniques for everything from setting service-level objectives to designing schemas, indexes, and queries to tuning your server, operating system, and hardware to achieve your platform's full potential. This guide also teaches database administrators safe and practical ways to scale applications through replication, load balancing, high availability, and failover. Updated to reflect recent advances in cloud- and self-hosted MySQL, InnoDB performance, and new features and tools, this revised edition helps you design a relational data platform that will scale with your business. You'll learn best practices for database security along with hard-earned lessons in both performance and database stability. Dive into MySQL's architecture, including key facts about its storage engines Learn how server configuration works with your hardware and deployment choices Make query performance part of your software delivery process Examine enhancements to MySQL's replication and high availability Compare different MySQL offerings in managed cloud environments Explore MySQL's full stack optimization from application-side configuration to server tuning Turn traditional database management tasks into automated processes
Guide to Industrial Analytics
This textbook describes the hands-on application of data science techniques to solve problems in manufacturing and the Industrial Internet of Things (IIoT). Monitoring and managing operational performance is a crucial activity for industrial and business organisations. The emergence of low-cost, accessible computing and storage, through Industrial Digital Technologies (IDT) and Industry 4.0, has generated considerable interest in innovative approaches to doing more with data. Data science, predictive analytics, machine learning, artificial intelligence and general approaches to modelling, simulating and visualising industrial systems have often been considered topics only for research labs and academic departments.This textbook debunks the mystique around applied data science and shows readers, using tutorial-style explanations and real-life case studies, how practitioners can develop their own understanding of performance to achieve tangible business improvements. All exercises can be completed with commonly available tools, many of which are free to install and use.Readers will learn how to use tools to investigate, diagnose, propose and implement analytics solutions that will provide explainable results to deliver digital transformation.
Speech and Computer
This book constitutes the proceedings of the 23rd International Conference on Speech and Computer, SPECOM 2021, held in St. Petersburg, Russia, in September 2021.* The 74 papers presented were carefully reviewed and selected from 163 submissions. The papers present current research in the area of computer speech processing including audio signal processing, automatic speech recognition, speaker recognition, computational paralinguistics, speech synthesis, sign language and multimodal processing, and speech and language resources.*Due to the COVID-19 pandemic, SPECOM 2021 was held as a hybrid event.
Database and Expert Systems Applications - DEXA 2021 Workshops
This volume constitutes the refereed proceedings of the workshops held at the 32nd International Conference on Database and Expert Systems Applications, DEXA 2021, held in a virtual format in September 2021: The 12th International Workshop on Biological Knowledge Discovery from Data (BIOKDD 2021), the 5th International Workshop on Cyber-Security and Functional Safety in Cyber-Physical Systems (IWCFS 2021), the 3rd International Workshop on Machine Learning and Knowledge Graphs (MLKgraphs 2021), the 1st International Workshop on Artificial Intelligence for Clean, Affordable and Reliable Energy Supply (AI-CARES 2021), the 1st International Workshop on Time Ordered Data (ProTime2021), and the 1st International Workshop on AI System Engineering: Math, Modelling and Software (AISys2021). Due to the COVID-19 pandemic the conference and workshops were held virtually. The 23 papers were thoroughly reviewed and selected from 50 submissions, and discuss a range of topics including: knowledge discovery, biological data, cyber security, cyber-physical system, machine learning, knowledge graphs, information retriever, data base, and artificial intelligence.
Rough Sets
The volume LNAI 12872 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2021, Bratislava, Slovak Republic, in September 2021. The conference was held as a hybrid event due to the COVID-19 pandemic. The 13 full paper and 7 short papers presented were carefully reviewed and selected from 26 submissions, along with 5 invited papers. The papers are grouped in the following topical sections: core rough set models and methods, related methods and hybridization, and areas of applications.
Web Information Systems and Applications
This book constitutes the proceedings of the 18th International Conference on Web Information Systems and Applications, WISA 2021, held in Kaifeng, China, in September 2021. The 49 full papers and 18 short papers presented were carefully reviewed and selected from 206 submissions. The papers are grouped in topical sections on world wide web, query processing and algorithm, natural language processing, machine learning, data mining, data privacy and security.
Building 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 analytics, machine learning, and data science requirements.Learn about the features and architecture of the data lakehouse, along with its powerful analytical infrastructure. Appreciate how the universal common connector blends structured, textual, analog, and IoT data. Maintain the lakehouse for future generations through Data Lakehouse Housekeeping and Data Future-proofing. Know how to incorporate the lakehouse into an existing data governance strategy. Incorporate data catalogs, data lineage tools, and open source software into your architecture to ensure your data scientists, analysts, and end users live happily ever after.
Advances in Fuzzy Group Decision Making
This book is focused on fuzzy group decision making, offering technical details including methodology, collaboration and aggregation mechanisms, system architectures, and applications. It explores the two categories of fuzzy-group decision making - anterior-aggregation and posterior-aggregation - and highlights how imperative collaboration amongst decision makers is for both forms. Advances in Fuzzy Group Decision Making will be of interest to researchers in decision making, artificial intelligence, soft computing, operations management, and information management, as well as practicing managers and engineers.
Big Data Analytics and Knowledge Discovery
This volume LNCS 12925 constitutes the papers of the 23rd International Conference on Big Data Analytics and Knowledge Discovery, held in September 2021. Due to COVID-19 pandemic it was held virtually. The 12 full papers presented together with 15 short papers in this volume were carefully reviewed and selected from a total of 71 submissions.The papers reflect a wide range of topics in the field of data integration, data warehousing, data analytics, and recently big data analytics, in a broad sense. The main objectives of this event are to explore, disseminate, and exchange knowledge in these fields.
Data Science
This two volume set (CCIS 1451 and 1452) constitutes the refereed proceedings of the 7th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2021 held in Taiyuan, China, in September 2021.The 81 papers presented in these two volumes were carefully reviewed and selected from 256 submissions. The papers are organized in topical sections on big data management and applications; social media and recommendation systems; infrastructure for data science; basic theory and techniques for data science; machine learning for data science; multimedia data management and analysis; ​social media and recommendation systems; data security and privacy; applications of data science; education research, methods and materials for data science and engineering; research demo.
Data Science
This two volume set (CCIS 1451 and 1452) constitutes the refereed proceedings of the 7th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2021 held in Taiyuan, China, in September 2021.The 81 papers presented in these two volumes were carefully reviewed and selected from 256 submissions. The papers are organized in topical sections on big data management and applications; social media and recommendation systems; infrastructure for data science; basic theory and techniques for data science; machine learning for data science; multimedia data management and analysis; ​social media and recommendation systems; data security and privacy; applications of data science; education research, methods and materials for data science and engineering; research demo.
Perspectives in Business Informatics Research
This book constitutes the proceedings of the 20th International Conference on Perspectives in Business Informatics Research, BIR 2021. The conference was held during September 22-24, 2021.The 16 papers presented in this volume were carefully reviewed and selected from 49 submissions. They were organized in topical sections as follows: Technology adoption and acceptance during COVID-19 times; conceptual modeling for enterprise systems; enterprise modeling methods and frameworks; compliance and normative challenges; and empirical investigations on digital innovation and transformation prerequisites.
Linking Theory and Practical of Digital Libraries
This book constitutes the proceedings of the 25th International Conference on Theory and Practice of Digital Libraries, TPDL 2021, held in September 2021. Due to COVID-10 pandemic the conference was held virtually.The 10 full papers, 3 short papers and 13 other papers presented were carefully reviewed and selected from 53 submissions. TPDL 2021 attempts to facilitate establishing connections and convergences between diverse research communities such as Digital Humanities, Information Sciences and others that could benefit from ecosystems offered by digital libraries and repositories. This edition of TPDL was held under the general theme of "Linking Theory and Practice". The papers are organized in topical sections as follows: Document and Text Analysis; Data Repositories and Archives; Linked Data and Open Data; User Interfaces and Experience.
Masterclass Enterprise Architecture Management
This textbook provides a hands-on introduction to enterprise architecture management. It guides the reader through the applications of methods and tools to typical business problems by presenting enterprise architecture frameworks and by sharing experiences from industry.The structure of the book represents the typical stages of the journey of an enterprise architect. Chapter 1 addresses the central question of what to achieve with the introduction of an enterprise architecture. Chapter 2 then introduces concepts and visualizations for business architecture that help with understanding the business. In chapter 3 the development of an application architecture is outlined, which provides transparency on information systems and their business context. Next, chapter 4 presents visual tools to analyze, improve and eventually optimize the application landscape. Chapter 5 discusses both traditional organizational as well as collaborative approaches to enterprise architecture management. Eventually, several established enterprise architecture frameworks like TOGAF, Zachmann, ArchiMate, and IAF are described in chapter 6. The book concludes with a summary and an outlook on future research potential in chapter 7. Based on their experiences through several years of teaching, the authors introduce students step-by-step to enterprise architecture development and management. Their book is intended as a guide for master classes at universities and includes lots of exercises and references for further reading.
Learning MySQL
Get a comprehensive overview on how to set up and design an effective database with MySQL. This thoroughly updated edition covers MySQL's latest version, including its most important aspects. Whether you're deploying an environment, troubleshooting an issue, or engaging in disaster recovery, this practical guide provides the insights and tools necessary to take full advantage of this powerful RDBMS. Authors Vinicius Grippa and Sergey Kuzmichev from Percona show developers and DBAs methods for minimizing costs and maximizing availability and performance. You'll learn how to perform basic and advanced querying, monitoring and troubleshooting, database management and security, backup and recovery, and tuning for improved efficiency. This edition includes new chapters on high availability, load balancing, and using MySQL in the cloud. Get started with MySQL and learn how to use it in production Deploy MySQL databases on bare metal, on virtual machines, and in the cloud Design database infrastructures Code highly efficient queries Monitor and troubleshoot MySQL databases Execute efficient backup and restore operations Optimize database costs in the cloud Understand database concepts, especially those pertaining to MySQL
Database and Expert Systems Applications
This two-volume set, LNCS 12923 and 12924, constitutes the thoroughly refereed proceedings of the 5th International Conference on Database and Expert Systems Applications, DEXA 2021. Due to COVID-19 pandemic, the conference was held virtually. The 37 full papers presented together with 31 short papers in these volumes were carefully reviewed and selected from a total of 149 submissions. The papers are organized around the following topics: big data; data analysis and data modeling; data mining; databases and data management; information retrieval; prediction and decision support.
Visual Analytics for Data Scientists
This textbook presents the main principles of visual analytics and describes techniques and approaches that have proven their utility and can be readily reproduced. Special emphasis is placed on various instructive examples of analyses, in which the need for and the use of visualisations are explained in detail.The book begins by introducing the main ideas and concepts of visual analytics and explaining why it should be considered an essential part of data science methodology and practices. It then describes the general principles underlying the visual analytics approaches, including those on appropriate visual representation, the use of interactive techniques, and classes of computational methods. It continues with discussing how to use visualisations for getting aware of data properties that need to be taken into account and for detecting possible data quality issues that may impair the analysis. The second part of the book describes visual analytics methods and workflows, organised by various data types including multidimensional data, data with spatial and temporal components, data describing binary relationships, texts, images and video. For each data type, the specific properties and issues are explained, the relevant analysis tasks are discussed, and appropriate methods and procedures are introduced. The focus here is not on the micro-level details of how the methods work, but on how the methods can be used and how they can be applied to data. The limitations of the methods are also discussed and possible pitfalls are identified.The textbook is intended for students in data science and, more generally, anyone doing or planning to do practical data analysis. It includes numerous examples demonstrating how visual analytics techniques are used and how they can help analysts to understand the properties of data, gain insights into the subject reflected in the data, and build good models that can be trusted. Based on several years of teaching related courses at the City, University of London, the University of Bonn and TU Munich, as well as industry training at the Fraunhofer Institute IAIS and numerous summer schools, the main content is complemented by sample datasets and detailed, illustrated descriptions of exercises to practice applying visual analytics methods and workflows.
Transactions on Large-Scale Data- And Knowledge-Centered Systems XLIX
Temporal Aggregation of Spanning Event Stream: An Extended Framework to Handle the Many Stream Models.- Reducing the Cost of Aggregation in Crowdsourcing.- A Partitioning Approach for Skyline Queries in Presence of Partial and Dynamic Orders.- Ensuring License Compliance in Linked Data with Query Relaxation.
The Enrichment Game
Getting the most from your data requires winning the Enrichment game. Learn the game rules and fit the "pieces," processes, and people together to achieve a high score in data quality and data useability.First, demonstrate the value of the data our organizations gather, protect, and, in some cases, share. Second, enrich the available data by providing more context on the meaning of the data. Chief data officers, data strategists, data architects, data managers, data scientists, business analysts, and data governance and business intelligence professionals all play the game, and therefore need to read this book to understand how to "win." Understand your data and the insights possible from this data, and you win the game. Organizations must understand how data answers questions, performs research, provides insights, forecasts the future, and recommends new ways of doing business. To do this successfully, we enrich data from one application with data from other applications or outside sources, and create an enrichment platform for knowledge workers. Those who can do this successfully can show data in ways that are unexpected and surprising.In addition to learning about enrichment, this book shares invaluable analogies to explain data management and Agile practices. The Boxer analogy, for example, explains why agility is useless without stability. Likewise, agile principles become chaotic if changing an unstable environment without best practices for keeping track of where your data came from, where it is going, and how to derive insights. Are you ready to get the most from your data? Play the enrichment game!
Azure Stack Hub Demystified
Deploy, configure, administer, and run Microsoft Azure Stack HubKey Features: Understand the topics required for the Microsoft Azure AZ-600 examConfigure and provide services from Microsoft Azure Stack HubImplement data center integration with Microsoft Azure Stack HubBook Description: Azure Stack Hub is the on-premise offering from Microsoft, which provides Azure Cloud services within a customer's own data center. It provides consistent processes between on-site and the cloud, allowing developers to test locally and deploy to the cloud in exactly the same manner. Azure Stack Hub Demystified provides complete coverage of deploying, configuring, administrating, and running Microsoft Azure Stack Hub efficiently.Firstly, you will learn how to deploy Azure Stack Hub within an organization. As you progress, you'll understand configuration and the different services provided by the platform. The book also focuses on the underlying architecture and connectivity options for the modern data center. Later, you will understand various approaches to DevOps and their implementation, and learn key topics for the AZ-600 exam.By the end of this Azure book, you will have a thorough understanding of Azure Stack Hub and the services that are provided by the platform, along with the confidence and information you need to be able to pass the AZ-600 exam.What You Will Learn: Understand the architecture of Azure Stack HubGet up to speed with the management and administration of Azure Stack HubExplore how to administer virtual networking within your Azure StackBecome well versed in using the Azure Stack Hub support model and updating Azure Stack HubUnderstand how licensing and billing is done with Azure Stack HubDiscover the tools that can be used to implement security within Azure Stack HubFocus on how DevOps practices can be incorporated with Azure Stack HubWho this book is for: If you are an Azure Administrator and Azure Stack Hub Operator who provides or is looking to provide cloud services to end users or customers within their own data center, then this book is for you. This book will also be beneficial to those who are preparing for Exam AZ-600: Configuring and Operating a Hybrid Cloud with Microsoft Azure Stack Hub.
Avoid Excel Horror Stories
NEARLY 90% OF SPREADSHEETS CONTAIN ERRORS AND MANY ARE ALSO HARD TO USE! Studies show that spreadsheet errors are commonplace. These can cause you huge losses of money, time and reputation. On top of that, spreadsheets are often poorly designed and constructed so that users have a hard time trying to understand and use them. The consequence is, they hinder rather than help you. Major causes are a lack of best practice training and insufficient error awareness. In this book, we address both these points. If you develop or use spreadsheets, this book is for you!You will learn how to excel at creating reliable, user-friendly spreadsheets. You will: + learn Golden Ground Rules to make your spreadsheets easier to use and to minimise the risk of error+ learn how errors can occur - largely based upon real-life horror stories - and how to avoid them+ fill your tool bag with "how2excel" tips to help you and further improve your spreadsheets The book is packed with practical examples and screenshots to help you understand. You can also download free bonus material: Excel files containing all the examples in the book as well as a practical checklist to print out and refer to in your work. In chapter 1 'Be prepared', you will learn what to do before starting to develop a spreadsheet and how best to plan your work. In chapter 2 'Follow Gary's Golden Ground Rules', you will learn all five of my tried and tested Golden Ground Rules for spreadsheet development. Rules 1 to 3 cover clear spreadsheet structure, calculations and design. Rules 4 and 5 explain how to restrict access and changes to your spreadsheets and make it clear for users how to use them. Follow these to help ensure that your spreadsheets are easy to use and to avoid errors. In chapter 3 'Learn from horror stories', you will learn about more than 20 real-life spreadsheet errors which had significant, damaging consequences - largely financial but also reputational - for the organisations and the people involved. These horror stories are grouped into categories to get you better acquainted with the kinds of errors that occur. In each case, you will learn how such errors arise and practical techniques to avoid them. These are often illustrated with simple Excel examples to help you better understand them. As a bonus, these examples are all available in Excel files that you can download and review to further improve your understanding. In chapter 4 'Avoid common function errors', you will understand various errors that can arise when using common functions such as VLOOKUP, NPV and IFERROR and how to avoid them. At this point in the book, we end the focus on error prevention. Two additional steps are needed to weed out any errors which do manage to slip through, and you will learn these in the next two chapters. In chapter 5 'Detect errors', you will learn how to identify errors, in case prevention fails. You will learn my three-pronged approach to error detection: built-in checks, review and testing by the developer, and independent review and testing. In chapter 6 'Find and correct errors', you will learn how to find and correct errors, including those that you had not previously detected! This is a vital step that should not be underestimated or omitted if you want to be really sure that your spreadsheets are reliable. Finally, in chapter 7 'How to excel', you will find advice on how best to apply your new-found knowledge and also a useful checklist of all the major concepts from the book for you to use in your Excel work. As a bonus, you can download and printout a PDF of the checklist for easy reference.
Database and Expert Systems Applications
This two-volume set, LNCS 12923 and 12924, constitutes the thoroughly refereed proceedings of the 5th International Conference on Database and Expert Systems Applications, DEXA 2021. Due to COVID-19 pandemic, the conference was held virtually. The 37 full papers presented together with 31 short papers in these volumes were carefully reviewed and selected from a total of 149 submissions. The papers are organized around the following topics: big data; data analysis and data modeling; data mining; databases and data management; information retrieval; prediction and decision support.
Interactive Reports in SAS(R) Visual Analytics
Elevate your reports with more user control and interactive elements Want to create exciting, user-friendly visualizations to bring greater intelligence to your organization? By mastering the full power of SAS Visual Analytics, you can add features that will enhance your reports and bring more depth and insight to your data. Interactive Reports in SAS Visual Analytics: Advanced Features and Customization is for experienced users who want to harness the advanced functionality of Visual Analytics on SAS Viya to create visualizations or augment existing reports. The book is full of real-world examples and step-by-step instructions to help you unlock the full potential of your reports. In this book, you will learn how to create interactive URL links to external websites use parameters to give the viewer more control add custom graphs and maps execute SAS code using SAS Viya jobs and more!
Tools F羹r Social Listening Und Sentiment-Analyse
Mit diesem Buch lernen Sie, wie Sie Social Listening und Sentiment-Analyse professionell einsetzen k繹nnen. Der Leser erh瓣lt Schritt-f羹r-Schritt-Beschreibungen f羹r verschiedene Einsatzszenarien, gekoppelt mit ?bungsaufgaben und n羹tzlichen Materialien, darunter ein Merkblatt f羹r Kennzahlen, eine Checkliste f羹r die Toolauswahl und ein Glossar f羹r Fachbegriffe. Dieses Lehr- und Praxisbuch verdeutlicht anhand von Anwendungsszenarien und Praxisbeispielen, wie Tools und Technologien f羹r Social Listening und Sentiment-Analyse f羹r die Analyse deutschsprachiger Online-Textdaten angewandt werden k繹nnen und welche Vorteile diese bringen. Der Leser erh瓣lt einen ?berblick 羹ber wichtige Funktionalit瓣ten aktuell verf羹gbarer Social-Listening-Tools und deren Einsatzm繹glichkeiten.
Interactive Reports in SAS(R) Visual Analytics
Elevate your reports with more user control and interactive elements Want to create exciting, user-friendly visualizations to bring greater intelligence to your organization? By mastering the full power of SAS Visual Analytics, you can add features that will enhance your reports and bring more depth and insight to your data. Interactive Reports in SAS Visual Analytics: Advanced Features and Customization is for experienced users who want to harness the advanced functionality of Visual Analytics on SAS Viya to create visualizations or augment existing reports. The book is full of real-world examples and step-by-step instructions to help you unlock the full potential of your reports. In this book, you will learn how to create interactive URL links to external websites use parameters to give the viewer more control add custom graphs and maps execute SAS code using SAS Viya jobs and more!
Big Data Analytics
The book serves as a perfect guide for those who aspire to learn big data analytics, algorithms and its tools. The book has been divided into five units, wherein each unit focuses on an important aspect of big data. The first unit deals with the fundamentals of big data, challenges associated with it and various tools for analytics. The second unit deals with the different analytical approaches, popular tools and a guide for building a well-designed analytics team. The third unit elaborates the framework and architecture of MapReduce, HBase and fundamental concepts to understand the HDFS file system types and its commands. The fourth unit gives a detailed note on Hadoop and its applications, with a focus on managing resources on distributed computing environment. The fifth unit helps to understand the text mining process, social media analytics, mobile and web analytics and the tools for it. The book solves the purpose of being a guide to both academicians and professionals. The concepts are well explained with diagrams and examples, wherever deemed necessary. There's no doubt that this book will be one of the best in its field.For more information, please visit https: //centralwestpublishing.com
Building Microservices with Micronaut(R)
Explore different aspects of building modular microservices such as development, testing, maintenance, and deployment using the Micronaut frameworkKey Features: Learn how to build scalable, fast, and resilient microservices with this concise guideExplore the many advantages of using reflection-free, compile-time dependency injections and aspect-oriented programmingBuild cloud-native applications easily with the Micronaut frameworkBook Description: The open source Micronaut(R) framework is a JVM-based toolkit designed to create microservices quickly and easily. This book will help full-stack and Java developers build modular, high-performing, and reactive microservice-based apps using the Micronaut framework.You'll start by building microservices and learning about the core components, such as ahead-of-time compilation, reflection-less dependency injection, and reactive baked-in HTTP clients and servers. Next, you will work on a real-time microservice application and learn how to integrate Micronaut projects with different kinds of relational and non-relational databases. You'll also learn how to employ different security mechanisms to safeguard your microservices and integrate microservices using event-driven architecture in the Apache Kafka ecosystem. As you advance, you'll get to grips with automated testing and popular testing tools. The book will help you understand how you can easily handle microservice concerns in Micronaut projects, such as service discovery, API documentation, distributed configuration management, fallbacks, and circuit breakers. Finally, you'll explore the deployment and maintenance aspects of microservices and get up to speed with the Internet of Things (IoT) using the Framework.By the end of this book, you'll be able to build, test, deploy, and maintain your own microservice apps using the framework.What You Will Learn: Understand why the Micronaut framework is best suited for building microservicesBuild web endpoints and services in the Micronaut frameworkSafeguard microservices using Session, JWT, and OAuth in Micronaut projectsGet to grips with event-driven architecture in Micronaut applicationsDiscover how to automate testing at various levels using built-in tools and testing frameworksDeploy your microservices to containers and cloud platformsBecome well-versed with distributed logging, tracing, and monitoring in Micronaut projectsGet hands-on with the IoT using Alexa and the Micronaut frameworkWho this book is for: This book is for developers who have been building microservices on traditional frameworks such as Spring Boot and are looking for a faster alternative. Intermediate-level knowledge of Java programming and implementing web services development in Java is required.
