Pro SQL Server 2022 Administration
Get your daily work done efficiently using this comprehensive guide for SQL Server DBAs that covers all that a practicing database administrator needs to know. Updated for SQL Server 2022, this edition includes coverage of new features, such as Ledger, which provides an immutable record of table history to protect you against malicious data tampering, and integration with cloud providers to support hybrid cloud scenarios. You'll also find new content on performance optimizations, such as query pan feedback, and security controls, such as new database roles, which are restructured for modern ways of working. Coverage also includes Query Store, installation on Linux, and the use of containerized SQL.Pro SQL Server 2022 Administration takes DBAs on a journey that begins with planning their SQL Server deployment and runs through installing and configuring the instance, administering and optimizing database objects, and ensuring that data issecure and highly available. Readers will learn how to perform advanced maintenance and tuning techniques, and discover SQL Server's hybrid cloud functionality.This book teaches you how to make the most of new SQL Server 2022 functionality, including integration for hybrid cloud scenarios. The book promotes best-practice installation, shows how to configure for scalability and high availability, and demonstrates the gamut of database-level maintenance tasks, such as index maintenance, database consistency checks, and table optimizations. What You Will LearnIntegrate SQL Server with Azure for hybrid cloud scenariosAudit changes and prevent malicious data changes with SQL Server's LedgerSecure and encrypt data to protect against embarrassing data breachesEnsure 24 x 7 x 365 access through high availability and disaster recovery features in today's hybrid worldUse Azure tooling, including Arc, to gain insight into and manage your SQL Server enterpriseInstall and configure SQL Server on Windows, Linux, and in containers Perform routine maintenance tasks, such as backups and database consistency checks Optimize performance and undertake troubleshooting in the Database EngineWho This Book Is ForSQL Server DBAs who manage on-premise installations of SQL Server. This book is also useful for DBAs who wish to learn advanced features, such as integration with Azure, Query Store, Extended Events, and Policy-Based Management, or those who need to install SQL Server in a variety of environments.
Spatial Data and Intelligence
This book constitutes the refereed proceedings of the Third International Conference, SpatialDI 2022, Wuhan, China, August 5-7, 2022, Revised Selected Papers. The 19 full papers and 1 short paper included in this book were carefully reviewed and selected from 77 submissions. They were organized in topical sections as follows: Traffic Management, Data science, City Analysis.
Employee-Centric It
Global surveys from McKinsey, BCG, Gartner, and others show that less than 30% of digital transformation programs succeed in their missions to improve a company's performance and employee productivity. This is due to the fact that IT efforts within the company do not center around the employee. This book will provide concrete steps to allow both IT professionals and business leaders to transform the way they deliver IT to employees - with the employee (the human) centered in their transformation.The concepts, models, checklists, and playbook you'll review are based on the author's many years of experience, lessons learned, and proven outcomes. IT organizations want to improve their employee experience but don't know how and this is the "must have" book for those who don't know where to start. More than two-thirds of today's jobs require good digital and IT skills from employees. The expectations of management, who invest in these big digital transformations, is that the employees will become more productive, effective and help the bottom line. However, this can only happen through active and proactive change of IT operations and transformations that center the employee, rather than technology or senior management. This book reveals the benefit of moving towards an approach where employees gain technology aptitude, are up for technology change, and are willing to learn more for their benefit and even provide feedback on ways to improve these tools, trainings and support. You'll see how employee engagement and experience research, concepts, and implementations are growing rapidly across many organizations and taking a key role in their global strategies. Employee-centric IT will transform employees to own their digital literacy and development, and this in turn reduces or even eliminates the shadow IT need and allows the organization to drive and implement successful digital transformation.What You'll LearnUnderstand the value of being employee-centric in IT departments versus current modelsTake steps to win IT team's acceptance of the changes needed to achieve employee-centricityBe proactive in providing training & information on digital & productivity toolsWho This Book Is ForBusiness leaders, IT and digital leaders as well as IT employees who would like to transform their current IT and Digital teams to be more employee centric and drive highest level of value, adoption and satisfaction for their IT/digital programs, transformations and investment.
The Service-Oriented Enterprise
A service-oriented architecture is fundamental to many new IT applications, from web development to social software and cloud computing. The same principles can be applied to every aspect of the service-oriented enterprise - not just in IT. In this book, you'll explore how an enterprise architecture and viable services can link together to create a simpler yet far more powerful view of the enterprise, as a dynamic, unified whole. You can use the ideas, principles and methods described here in business transformation, workflow mapping, system design and much else besides, in every type of enterprise - including those in which there may be little or no IT at all. Step by step, you'll walk through the basics of service-oriented architectures, the four key categories of services and how they connect, and how all of this comes together in real-world service design, implementation and operations. From this, you'll discover how to identify and describe the different types ofservices that you need for your enterprise, and how to distinguish between the services that you can safely outsource, versus those that you do need to keep in-house. By the end of this book, you'll learn how to construct function models and service models of your enterprise as a base for service-mapping, and how to pinpoint and map the information flows you need for service-management and service-performance, to keep everything on-track to purpose. What You'll LearnSee how an enterprise architecture can work as a literal architecture Understand Stafford Beer's "Viable System Model" and adapt it as a robust modelStudy how a Viable Services Model provides a template for service design that covers functionals, non-functionals and operational governance for servicesWho This Book Is ForEnterprise architects, Business architects, Service designers, Workflow designers
Web Information Systems and Technologies
This book constitutes revised selected papers from the 16th and 17th International Conferences on Web Information Systems and Technologies, WEBIST 2020 and WEBIST 2021, which took place virtually in November 2020 and October 2021, respectively.The 10 full papers from WEBIST 2021 and 1 full paper from WEBIST 2020 presented in this volume were carefully reviewed and selected from originally 48 paper submissions in 2020 and 107 submissions in 2021. The selected papers contribute to the understanding of relevant current research trends in Web information systems and technologies, including deep learning, knowledge representation and reasoning, recommender systems, internet of things, Web intelligence and big data.
Management Innovation and Big Data
Adhering to the combination of theoretical introduction and practical case introduction, this book summarizes the basic concepts and methods in management and big data analysis at home and abroad and introduces a large number of relevant practical cases, especially new cases in the Internet era, to help readers integrate theoretical knowledge into practical applications. The chapters of this book are interrelated and independent of each other, making it easy for the reader to study in pieces or to delve deeper into a particular topic of interest. Covering an array of theories about management and big data at home and abroad, this book lays a solid foundation for being an authentic manager. It is organized into sections on decision-making, organization, leadership, control, innovation, and big data to fully dissect and summarize the basic concepts of these characters in management and to show the basic methods that managers can use to solve problems. Each section contains a large number of examples to demonstrate how entrepreneurs successfully manage their large companies and overcome the difficulties in the business, utilizing the corresponding management functions or big data technology. Further, in order to adapt to the development of the Internet era, this book also absorbs a lot of practice cases of management innovation and big data which have emerged in recent years based on advanced network platform and big data analysis. This book puts great emphasis on the innovative function of management, adding more comprehensive methods and more updated cases related to the Internet.
Computational Linguistics and Intelligent Text Processing
The two-volume set LNCS 13451 and 13452 constitutes revised selected papers from the CICLing 2019 conference which took place in La Rochelle, France, April 2019.The total of 95 papers presented in the two volumes was carefully reviewed and selected from 335 submissions. The book also contains 3 invited papers. The papers are organized in the following topical sections: General, Information extraction, Information retrieval, Language modeling, Lexical resources, Machine translation, Morphology, sintax, parsing, Name entity recognition, Semantics and text similarity, Sentiment analysis, Speech processing, Text categorization, Text generation, and Text mining.
Big Data Analytics
This book constitutes the proceedings of the 10th International Conference on Big Data Analytics, BDA 2022, which took place in Hyderabad, India, in December 2022.The 7 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 36 submissions. The book also contains 4 keynote talks in full-paper length. The papers are organized in the following topical sections: Big Data Analytics: Vision and Perspectives; Data Science: Architectures; Data Science: Applications; Graph Analytics; Pattern Mining; Predictive Analytics in Agriculture.
Data Mining and Big Data
This two-volume set, CCIS 1744 and CCIS 1745 book constitutes the 7th International Conference, on Data Mining and Big Data, DMBD 2022, held in Beijing, China, in November 21-24, 2022.The 62 full papers presented in this two-volume set included in this book were carefully reviewed and selected from 135 submissions. The papers present the latest research on advantages in theories, technologies, and applications in data mining and big data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc.
Data Literacy in Practice
Accelerate your journey to smarter decision making by mastering the fundamentals of data literacy and developing the mindset to work confidently with dataKey Features: Get a solid grasp of data literacy fundamentals to support your next steps in your careerLearn how to work with data and extract meaningful insights to take the right actionsApply your knowledge to real-world business intelligence projectsBook Description: Data is more than a mere commodity in our digital world. It is the ebb and flow of our modern existence. Individuals, teams, and enterprises working with data can unlock a new realm of possibilities. And the resultant agility, growth, and inevitable success have one origin-data literacy.This comprehensive guide is written by two data literacy pioneers, each with a thorough footprint within the data and analytics commercial world and lectures at top universities in the US and the Netherlands. Complete with best practices, practical models, and real-world examples, Data Literacy in Practice will help you start making your data work for you by building your understanding of data literacy basics and accelerating your journey to independently uncovering insights.You'll learn the four-pillar model that underpins all data and analytics and explore concepts such as measuring data quality, setting up a pragmatic data management environment, choosing the right graphs for your readers, and questioning your insights.By the end of the book, you'll be equipped with a combination of skills and mindset as well as with tools and frameworks that will allow you to find insights and meaning within your data for data-informed decision making.What You Will Learn: Start your data literacy journey with simple and actionable stepsApply the four-pillar model for organizations to transform data into insightsDiscover which skills you need to work confidently with dataVisualize data and create compelling visual data storiesMeasure, improve, and leverage your data to meet organizational goalsMaster the process of drawing insights, ask critical questions and action your insightsDiscover the right steps to take when you analyze insightsWho this book is for: This book is for data analysts, data professionals, and data teams starting or wanting to accelerate their data literacy journey. If you're looking to develop the skills and mindset you need to work independently with data, as well as a solid knowledge base of the tools and frameworks, you'll find this book useful.
Beginning Salesforce DX
Refer to the practical guidance provided in this book to develop Salesforce custom applications in a more agile, collaborative, and resilient way using Salesforce Developer Experience (DX). You will learn how to use the Salesforce Command Line Interface (CLI) to simplify working with projects, metadata, data and orgs. The CLI integrates with your development tools of choice such as Visual Studio Code, and CI/CD tools to implement DevOps pipelines. Readers will also gain an understanding of the package development model, which improves application quality and maintainability by grouping metadata into highly cohesive, loosely coupled containers. Salesforce DX supports application development throughout the entire development lifecycle where a version control system, rather than a Salesforce org, is the source of truth. It became generally available in late 2017 and has now reached a stage of feature richness and stability that it is becoming more widely adopted. Beginning Salesforce DX provides development teams with practical, how-to examples of using Salesforce DX that go beyond the Salesforce documentation. Commands and their parameters are described, including any gotchas, and the outcome of the commands on a Salesforce org is explained. What You Will Learn - How to setup a Salesforce DX development environment - Understand the key Salesforce DX concepts and the Salesforce CLI - Work with Dev Hubs, projects, orgs, metadata and version control systems - Improve quality with test users and test data - Bootstrap pro-code development with templates - Apply Salesforce DX to an end-to-end package development project Who This Book Is For Internal teams developing custom Salesforce applications for an individual customer, or those creating commercial applications for distribution via the Salesforce AppExchange enterprise marketplace. All team disciplines will benefitfrom understanding and applying Salesforce DX, including pro-code, low-code and no-code developers, testers, release managers, DevOps engineers and administrators. A secondary audience includes those needing to understand key concepts when establishing or evolving an organisation's application lifecycle management capability, such as capability leaders, architects, consultants and business analysts.
Heterogeneous Data Management, Polystores, and Analytics for Healthcare
This book constitutes revised selected papers from two VLDB workshops: The International Workshop on Polystore Systems for Heterogeneous Data in Multiple Databases with Privacy and Security Assurances, Poly 2022, and the 8th International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2022, which were held virtually on September 9, 2022. The proceedings include 3 full papers each from Poly 2022 and from DMAH 2022. DMAH deals with innovative data management and analytics technologies highlighting end-to-end applications, systems, and methods to address problems in healthcare, public health, and everyday wellness, with clinical, physiological, imaging, behavioral, environmental, and omic - data, and data from social media and the Web.Poly is focusing on the broader real-world polystore problem, which includes data management, data integration, data curation, privacy, and security.
Application of Big Data, Blockchain, and Internet of Things for Education Informatization
The three-volume set LNICST 465, 466 and 467 constitutes the proceedings of the Second EAI International Conference on Application of Big Data, Blockchain, and Internet of Things for Education Informatization, BigIoT-EDU 2022, held as virtual event, in July 29-31, 2022. The 204 papers presented in the proceedings were carefully reviewed and selected from 550 submissions. BigIoT-EDU aims to provide international cooperation and exchange platform 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. The conference focuses on research fields such as "Big Data" and "Information Education. The use of Artificial Intelligence (AI), Blockchain and network security lies at the heart of this conference as we focused on these emerging technologies to excel the progress of Big Data and information education.
Revealing Media Bias in News Articles
This open access book presents an interdisciplinary approach to reveal biases in English news articles reporting on a given political event. The approach named person-oriented framing analysis identifies the coverage's different perspectives on the event by assessing how articles portray the persons involved in the event. In contrast to prior automated approaches, the identified frames are more meaningful and substantially present in person-oriented news coverage. The book is structured in seven chapters: Chapter 1 presents a few of the severe problems caused by slanted news coverage and identifies the research gap that motivated the research described in this thesis. Chapter 2 discusses manual analysis concepts and exemplary studies from the social sciences and automated approaches, mostly from computer science and computational linguistics, to analyze and reveal media bias. This way, it identifies the strengths and weaknesses of current approaches for identifying and revealing media bias. Chapter 3 discusses the solution design space to address the identified research gap and introduces person-oriented framing analysis (PFA), a new approach to identify substantial frames and to reveal slanted news coverage. Chapters 4 and 5 detail target concept analysis and frame identification, the first and second component of PFA. Chapter 5 also introduces the first large-scale dataset and a novel model for target-dependent sentiment classification (TSC) in the news domain. Eventually, Chapter 6 introduces Newsalyze, a prototype system to reveal biases to non-expert news consumers by using the PFA approach. In the end, Chapter 7 summarizes the thesis and discusses the strengths and weaknesses of the thesis to derive ideas for future research on media bias. This book mainly targets researchers and graduate students from computer science, computational linguistics, political science, and further social sciences who want to get an overview of the relevant state of the art in the other related disciplines and understand and tackle the issue of bias from a more effective, interdisciplinary viewpoint.
Application of Big Data, Blockchain, and Internet of Things for Education Informatization
The three-volume set LNICST 465, 466 and 467 constitutes the proceedings of the Second EAI International Conference on Application of Big Data, Blockchain, and Internet of Things for Education Informatization, BigIoT-EDU 2022, held as virtual event, in July 29-31, 2022. The 204 papers presented in the proceedings were carefully reviewed and selected from 550 submissions. BigIoT-EDU aims to provide international cooperation and exchange platform 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. The conference focuses on research fields such as "Big Data" and "Information Education. The use of Artificial Intelligence (AI), Blockchain and network security lies at the heart of this conference as we focused on these emerging technologies to excel the progress of Big Data and information education.
Mobile Multimedia Communications
This book constitutes the thoroughly refereed post-conference proceedings of the 15th EAI International Conference on Mobile Multimedia Communications, MobiMedia 2022, held in July 22-24, 2022. Due to COVID-19 pandemic the conference was held virtually. The 29 full papers presented were carefully selected from numerous submissions. The papers are organized in topical sections as follows: Internet of Things and Wireless Communications Communication Strategy Optimization; Cyberspace Security on Cryptography, Privacy Protection, Data Sharing, Access Control and Task Prediction; Neural Networks and Feature Learning; and Object Recognition and Detection.
Revealing Media Bias in News Articles
This open access book presents an interdisciplinary approach to reveal biases in English news articles reporting on a given political event. The approach named person-oriented framing analysis identifies the coverage's different perspectives on the event by assessing how articles portray the persons involved in the event. In contrast to prior automated approaches, the identified frames are more meaningful and substantially present in person-oriented news coverage. The book is structured in seven chapters: Chapter 1 presents a few of the severe problems caused by slanted news coverage and identifies the research gap that motivated the research described in this thesis. Chapter 2 discusses manual analysis concepts and exemplary studies from the social sciences and automated approaches, mostly from computer science and computational linguistics, to analyze and reveal media bias. This way, it identifies the strengths and weaknesses of current approaches for identifying and revealing media bias. Chapter 3 discusses the solution design space to address the identified research gap and introduces person-oriented framing analysis (PFA), a new approach to identify substantial frames and to reveal slanted news coverage. Chapters 4 and 5 detail target concept analysis and frame identification, the first and second component of PFA. Chapter 5 also introduces the first large-scale dataset and a novel model for target-dependent sentiment classification (TSC) in the news domain. Eventually, Chapter 6 introduces Newsalyze, a prototype system to reveal biases to non-expert news consumers by using the PFA approach. In the end, Chapter 7 summarizes the thesis and discusses the strengths and weaknesses of the thesis to derive ideas for future research on media bias. This book mainly targets researchers and graduate students from computer science, computational linguistics, political science, and further social sciences who want to get an overview of the relevant state of the art in the other related disciplines and understand and tackle the issue of bias from a more effective, interdisciplinary viewpoint.
Application of Big Data, Blockchain, and Internet of Things for Education Informatization
The three-volume set LNICST 465, 466 and 467 constitutes the proceedings of the Second EAI International Conference on Application of Big Data, Blockchain, and Internet of Things for Education Informatization, BigIoT-EDU 2022, held as virtual event, in July 29-31, 2022. The 204 papers presented in the proceedings were carefully reviewed and selected from 550 submissions. BigIoT-EDU aims to provide international cooperation and exchange platform 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. The conference focuses on research fields such as "Big Data" and "Information Education. The use of Artificial Intelligence (AI), Blockchain and network security lies at the heart of this conference as we focused on these emerging technologies to excel the progress of Big Data and information education.
Bayesian Analysis with Excel and R
Leverage the full power of Bayesian analysis for competitive advantage Bayesian methods can solve problems you can't reliably handle any other way. Building on your existing Excel analytics skills and experience, Microsoft Excel MVP Conrad Carlberg helps you make the most of Excel's Bayesian capabilities and move toward R to do even more. Step by step, with real-world examples, Carlberg shows you how to use Bayesian analytics to solve a wide array of real problems. Carlberg clarifies terminology that often bewilders analysts, and offers sample R code to take advantage of the rethinking package in R and its gateway to Stan. As you incorporate these Bayesian approaches into your analytical toolbox, you'll build a powerful competitive advantage for your organization--and yourself. Explore key ideas and strategies that underlie Bayesian analysis Distinguish prior, likelihood, and posterior distributions, and compare algorithms for driving sampling inputs Use grid approximation to solve simple univariate problems, and understand its limits as parameters increase Perform complex simulations and regressions with quadratic approximation and Richard McElreath's quap function Manage text values as if they were numeric Learn today's gold-standard Bayesian sampling technique: Markov Chain Monte Carlo (MCMC) Use MCMC to optimize execution speed in high-complexity problems Discover when frequentist methods fail and Bayesian methods are essential--and when to use both in tandem
What is in a Name?
I. Preliminaries.- II. Theories of Logicians.- 1. Mill.- 2. Frege.- 3. Russell.- 4. Some More Recent Talk on Proper Names.- (i) Ziff.- (ii) Strawson.- (iii) Ayer.- (iv) Searle.- (v) Shawyder.- (vi) Kneale.- III. Theories of Linguists.- 1. Gardiner.- 2. S繪rensen.- 3. Syntactic Regularities: Jespersen, Chomsky, Gardiner.- IV. A Constructive Move.- 1. On Dictionary Definition.- 2. The Pragmatic Dimension.- 3. The Need for Identification.- 4. Referring Expressions.- 5. Proper Names and Definite Descriptions.- 6. Identifying - Referring and Distinguishing.- 7. The Referent.- 8. Overlapping Categories.- 9. A Use - Mention Confusion.- 10. Transformation to Common Names.- 11. The Protean Use of Proper Names.- 12. Same Person - Same Name.- 13. Name-Givers.- 14. Why Name?.- 15. Conventions.- 16. Problems of Translation.- V. Conclusion.
Service-Oriented Computing
This book constitutes the proceedings of the 20th International Conference on Service-Oriented Computing, ICSOC 2022, held in Seville, Spain, in November -December 2022.The 29 full, 15 short, and 4 vision papers included in this volume were carefully reviewed and selected from 221 submissions. They were organized in topical sections named: ​service modeling and mining; quality of service; microservices; service personalization, recommendation, and crowdsourcing; blockchain; IoT and green computing; services for cloud, edge, and fog computing; artificial intelligence and machine learning for service computing; vision papers.
Automated Software Design Volume 1, 2nd Edition Public
This upper-division undergraduate text explains major paradigms that automate software development. Presentations integrate 50+ years of results in software design, relational databases, using category theory (a simple and profound theory about structures and transformations) as a foundation. Among the paradigms covered include: Model Driven Engineering, Refactoring MDE Metamodels, Refactoring Java Programs, Design Patterns, Software Product Lines, Dataflow by Transformation, Category Theory Edition #2 is a major rewrite of Edition #1, with new material, corrections, and revisions.
Colorwise
Data has become the most powerful tool in business today, and telling its story effectively is critical. Yet one of the best communicators--color--is the most neglected tool in data visualization. With this book, DATAcated founder Kate Strachnyi provides the ultimate guide to the correct use of color for representing data in graphs, charts, tables, and infographics. Ideal for data and business analysts, data scientists, and others who design infographics and data visualizations, this practical resource explores color tips and tricks, including the theories behind them and why they work the way they do. ColorWise covers the psychology, history, and culture of many different colors. This book is also a useful teaching tool for learning about proper use of color for data storytelling techniques and dashboarding. You'll explore: The role that color theory plays in data visualization and storytelling Various color techniques you can use to improve data visualizations How colors affect your audience's understanding of data visualizations How to use color intentionally to help guide your audience Tips for using colors that people with color vision deficiency can interpret How to apply the book's guidelines for use in your own projects
Subject-Oriented Business Process Management. Dynamic Digital Design of Everything - Designing or Being Designed?
This book constitutes the refereed proceedings of the 13th International Conference onSubject-Oriented Business Process Management, S-BPM ONE 2022, held in Karlsruhe, Germany, during June 29-July 1, 2022.The 7 full papers and 4 short papers included in this book were carefully reviewed andselected from 15 submissions. They were organized in topical sections as follows: technology; application; and short papers.
The Recent Advances in Transdisciplinary Data Science
This book constitutes the refereed proceedings of the First Southwest Data Science Conference, on The Recent Advances in Transdisciplinary Data Science, SDSC 2022, held in Waco, TX, USA, during March 25-26, 2022.The 14 full papers and 2 short papers included in this book were carefully reviewed and selected from 72 submissions. They were organized in topical sections as follows: Business and social data science; Health and biological data science; Applied data science, artificial intelligence, and data engineering.
Formalizing Natural Languages: Applications to Natural Language Processing and Digital Humanities
This book constitutes selected revised papers of the 16th International Conference on Formalizing Natural Languages: Applications to Natural Language Processing and Digital Humanities, NooJ 2022, held in Rosario, Argentina, in June 2022. Due to COVID-19 pandemic the conference was held virtually.NooJ is a linguistic development environment that provides tools for linguists to construct linguistic resources that formalize a large gamut of linguistic phenomena: typography, orthography, lexicons for simple words, multiword units and discontinuous expressions, inflectional, derivational and agglutinative morphology, local, phrase-structure and dependency grammars, as well as transformational and semantic grammars.The 17 full papers presented were carefully reviewed and selected from 50 submissions. The papers are organized in the following topics: ​ Morphological and Lexical Resources; Syntactic and Semantic Resources; Corpus Linguistics and Discourse Analysis; Natural Language Processing Applications.
Advances in Computer Graphics
This book constitutes the refereed proceedings of the 39th Computer Graphics International Conference on Advances in Computer Graphics, CGI 2022, held Virtually, during September 12-16, 2022. The 45 full papers included in this book were carefully reviewed and selected from 139 submissions. They were organized in topical sections as follows: image analysis & processing; graphs & networks; estimation & feature matching; 3d reconstruction; rendering & animation; detection & recognition; colors, paintings & layout; synthesis & generation; ar & user interfaces; medical imaging; segmentation; object detection; image attention & perception; and modeling & simulation.
Data Mining and Big Data
This two-volume set, CCIS 1744 and CCIS 1745 book constitutes the 7th International Conference, on Data Mining and Big Data, DMBD 2022, held in Beijing, China, in November 21-24, 2022.The 62 full papers presented in this two-volume set included in this book were carefully reviewed and selected from 135 submissions. The papers present the latest research on advantages in theories, technologies, and applications in data mining and big data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc.
Ethical Reasoning for a Data-Centered World
The American Statistical Association (ASA) and the Association of Computing Machinery (ACM) have longstanding ethical practice standards that are explicitly intended to be utilized by all who use statistical practices or computing, or both. Since statistics and computing are critical in any data-centered activity, these practice standards are essential to instruction in the uses of statistical practices or computing across disciplines.Ethical Reasoning for a Data-Centered World is aimed at any undergraduate or graduate students utilizing data. Whether the career goal is research, teaching, business, government, or a combination, this book presents a method for understanding and prioritizing ethical statistics, computing, and data science - featuring the ASA and ACM practice standards. To facilitate engagement, integration with prior learning, and authenticity, the material is organized around seven tasks: Planning/Designing; Data collection; Analysis; Interpretation; Reporting; Documenting; and Engaging in Team Work. This book is a companion volume to Ethical Practice of Statistics and Data Science, also published by Ethics International Press (2022). These are the first and only books to be based on, and to provide guidance to, the American Statistical Association (ASA) and Association of Computing Machinery (ACM) ethical guideline documents.
Ethical Practice of Statistics and Data Science
Ethical Practice of Statistics and Data Science is intended to prepare people to fully assume their responsibilities to practice statistics and data science ethically. Aimed at early career professionals, practitioners, and mentors or supervisors of practitioners, the book supports the ethical practice of statistics and data science, with an emphasis on how to earn the designation of, and recognize, "the ethical practitioner".The book features 47 case studies, each mapped to the Data Science Ethics Checklist (DSEC); Data Ethics Framework (DEFW); the American Statistical Association (ASA) Ethical Guidelines for Statistical Practice; and the Association of Computing Machinery (ACM) Code of Ethics.It is necessary reading for students enrolled in any data intensive program, including undergraduate or graduate degrees in (bio-)statistics, business/analytics, or data science. Managers, leaders, supervisors, and mentors who lead data-intensive teams in government, industry, or academia would also benefit greatly from this book.This is a companion volume to Ethical Reasoning For A Data-Centered World, also published by Ethics International Press (2022). These are the first and only books to be based on, and to provide guidance to, the ASA and ACM Ethical Guidelines/Code of Ethics.
Structural, Syntactic, and Statistical Pattern Recognition
This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2022, held in Montreal, QC, Canada, in August 2022.The 30 papers together with 2 invited talks presented in this volume were carefully reviewed and selected from 50 submissions. The workshops presents papers on topics such as deep learning, processing, computer vision, machine learning and pattern recognition and much more.
Arithmetic of Finite Fields
This book constitutes the thoroughly refereed post-workshop proceedings of the 8th International Workshop on the Arithmetic of Finite Field, WAIFI 2022, held in Chengdu, China, in August - September 2022.The 19 revised full papers and 3 invited talks presented were carefully reviewed and selected from 25 submissions. The papers are organized in topical sections: structures in finite fields; efficient finite field arithmetic; coding theory; cryptography; sequences.
Transactions on Rough Sets XXIII
The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence. Volume XXIII in the series is a continuation of a number of research streams that have grown out of the seminal work of Zdzislaw Pawlak during the first decade of the 21st century.
Ict Innovations 2022. Reshaping the Future Towards a New Normal
This book constitutes the refereed proceedings of the 14th International Conference on ICT Innovations 2022. Reshaping the Future Towards a New Normal, ICT Innovations 2022, held in Skopje, Macedonia, during September 29-October 1, 2022. The 14 full papers and 1 short papers included in this book were carefully reviewed and selected from 42 submissions. They were organized in topical sections as follows: theoretical foundations and distributed computing; artificial intelligence and deep learning; applied artificial intelligence; education; and medical informatics.
The Data Lakehouse Architecture
Learn how the data lakehouse is designed and architected to meet today's complex and ever-changing analytics, machine learning, and data science requirements.In the bestseller, "Building the Data Lakehouse", you learned about the features of the data lakehouse, along with its powerful analytical infrastructure. This book is the architectural companion to "Building the Data Lakehouse". Appreciate the strategic approaches and challenges with including structured data, text, and IoT/analog readings within the same analytical environment. Know the steps to create the data lakehouse canonical model, and the dynamic processing necessary to satisfy the most demanding business analysts and data scientists. Understand the modern cloud data storage cost-saving methodology through Data Future-proofing. Experience a new paradigm of Micro Repository in microservices architecture and advanced security to ensure your data lakehouse delivers business value for generations.
Pricai 2022: Trends in Artificial Intelligence
This three-volume set, LNAI 13629, LNAI 13630, and LNAI 13631 constitutes the thoroughly refereed proceedings of the 19th Pacific Rim Conference on Artificial Intelligence, PRICAI 2022, held in Shangai, China, in November 10-13, 2022.The 91 full papers and 39 short papers presented in these volumes were carefully reviewed and selected from 432 submissions. PRICAI covers a wide range of topics in the areas of social and economic importance for countries in the Pacific Rim: artificial intelligence, machine learning, natural language processing, knowledge representation and reasoning, planning and scheduling, computer vision, distributed artificial intelligence, search methodologies, etc.
Beginning MATLAB and Simulink
Employ essential tools and functions of the MATLAB and Simulink packages, which are explained and demonstrated via interactive examples and case studies. This revised edition covers features from the latest MATLAB 2022b release, as well as other features that have been released since the first edition published. This book contains dozens of simulation models and solved problems via m-files/scripts and Simulink models which will help you to learn programming and modelling essentials. You'll become efficient with many of the built-in tools and functions of MATLAB/Simulink while solving engineering and scientific computing problems. Beginning MATLAB and Simulink, Second Edition explains various practical issues of programming and modelling in parallel by comparing MATLAB and Simulink. After studying and using this book, you'll be proficient at using MATLAB and Simulink and applying the source code and models from the book's examples as templates for your own projects in data science or engineering. What You Will LearnMaster the programming and modelling essentials of MATLAB and SimulinkCarry out data visualization with MATLABBuild a GUI and develop App with MATLABWork with integration and numerical root finding methodsApply MATLAB to differential equations-based models and simulationsUse MATLAB and Simulink for data science projects Who This Book Is ForEngineers, programmers, data scientists, and students majoring in engineering and scientific computing who are new to MATLAB and Simulink.
Problems on Algorithms
Mathematical Induction.- Growth of Functions.- Recurrence Relations.- Algorithm Analysis.- Basic Data Structure.- Hash.- Tree.- Search.- Sorting.- Divide and Conquer.- Dynamic Programming.- Greedy Algorithms.- Graph.- Backtracking Algorithms.- P, NP, NP-Complete, and NP-Hard Problems.
Relational Database And SQL
This book introduces you to the field of relational database development and usage. There are many good books in this field. This book is different. It covers the basics so that beginners can read cover to cover. It is not a book for all levels of readers. For example, this book uses Microsoft SQL Server and Transact-SQL (or T-SQL). It will not mention the different dialect of Oracle or MySQL. If you are interested in Oracle or MySQL, you should use a different book. If you learned SQL Server from this book at your institution and you need to use other DBMS in your future job, the knowledge is only one Google away. This is not a reference book. For example, there are multiple ways to use aliases in T-SQL, but we only use one way. We believe that it is pretty easy to know different ways of using aliases once you finish this book. Why introduce all the different ways of using aliases for the first timer?This book is also unique with over 100 SQL examples and exercises. Most of these examples and exercises are paired. Readers learn one SQL example and can find a corresponding SQL exercise. We believe you have to write the codes in order to show you understood this book. You won't complete this book in 24 hours or 7 days.Even though the book is simple, by the end of the book, readers will be able to apply the knowledge learned to real world projects. We include one project with the detailed process of developing the database and the SQL examples of using the database. This book also includes three case studies readers can practice. This book uses a custom database which is simple with very limited data. The advantage of this approach is that you can manually find the solution before you write the SQL statement (Appendix 2 provides all data of the database). For example, if the question asks for the highest priced deliveries product, you can manually go to Appendix 2 of the book and find the product before you write the SQL statement.Please use Amazon's preview to take a look of the book before purchasing.The third edition includes 343 review questions. We are grateful to Dr. Youlong Zhuang for reviewing this edition.
Modern Enterprise Architecture
Enterprise Architecture (EA) frameworks such as TOGAF and Zachman are still valid, but enterprise architects also need to adapt to the new reality of agile, DevOps, and overall disruption through digital transformation. This book will help do just that. The Change to Modern Enterprise Architecture will teach you how to use known frameworks in the new world of digital transformation. Over the course of the book, you'll learn how modern EA is helping drive strategic business decisions, create continuous and agile ("floating") architecture for scalability, and how to address quality and speed in architecture using and integrating DevSecOps frameworks in EA. This book is divided into three parts: the first explains what modern enterprise architecture is and why it's important to any business. It covers the different EA frameworks and explains what they are. In the second part, you will learn how to integrate modern development frameworks into EA, and why this knowledge will enable you to deftly respond to various business challenges. The final section of the book is all about scaling the enterprise using modern enterprise architecture. You will also see how the role of the enterprise architect is changing and how to remain in control of your architecture. Upon completing this book, you'll understand why the enterprise architect is no longer just a role overseeing the architecture strategy of a business, but has become more of a leader in driving engineering excellence. What You'll Learn Integrate DevSecOps as artifact to modern EAUse Enterprise Architecture to scale up your businessUnderstand the changing role of the enterprise architectDefine a floating architecture to enhance business agility Who This Book Is For Enterprise architects, IT architects, lead engineers, business architects, business leaders, product managers.
Data and Information in Online Environments
This book constitutes the refereed post-conference proceedings of the Third EAI International Conference on Data and Information in Online Environments, DIONE 2022, held as virtual event, in July 28-29, 2022. Due to COVID-19 pandemic the conference was held virtually.DIONE 2022 aims to bring together academicians and practitioners willing to discuss topics around the intersection of Computer Science, Information Science, and Communication Science. The attractiveness of the scope and topics has brought relevant research results. This proceeding consists of chapters covering deep learning, data management, software design, social networks, natural language processing, and data processing in various contexts like scholarly publishing, health and medicine, higher education, innovation and research, energy and transportation, and organizations.The 18 full papers and 2 short papers were carefully reviewed and selected from 56 submissions. The papers are grouped in thematic sessions as follows: Informational challenges for the study of Science, Technology and Society relationships; and Advances in Artificial Intelligence for data processing and analysis in online social environments.
Salesforce Data Architect Certification Guide
Learn data architecture essentials and prepare for the Salesforce Certified Data Architect exam with the help of tips and mock test questionsKey Features: Leverage data modelling, Salesforce database design, and techniques for effective data designLearn master data management, Salesforce data management, and how to include considerationsGet to grips with large data volumes, performance tuning, and poor performance mitigation techniquesBook Description: The Salesforce Data Architect is a prerequisite exam for the Application Architect half of the Salesforce Certified Technical Architect credential. This book offers complete, up-to-date coverage of the Salesforce Data Architect exam so you can take it with confidence.The book is written in a clear, succinct way with self-assessment and practice exam questions, covering all the topics necessary to help you pass the exam with ease. You'll understand the theory around Salesforce data modeling, database design, master data management (MDM), Salesforce data management (SDM), and data governance. Additionally, performance considerations associated with large data volumes will be covered. You'll also get to grips with data migration and understand the supporting theory needed to achieve Salesforce Data Architect certification.By the end of this Salesforce book, you'll have covered everything you need to know to pass the Salesforce Data Architect certification exam and have a handy, on-the-job desktop reference guide to re-visit the concepts.What You Will Learn: Understand the topics relevant to passing the Salesforce Data Architect examExplore specialist areas, such as large data volumesTest your knowledge with the help of exam-like questionsPick up useful tips and tricks that can be referred to time and againUnderstand the reasons underlying the way Salesforce data management worksDiscover the techniques that are available for loading massive amounts of dataWho this book is for: This book is for both aspiring Salesforce data architects and those already familiar with Salesforce data architecture who want to pass the exam and have a reference guide to revisit the material as part of their day-to-day job. Working knowledge of the Salesforce platform is assumed, alongside a clear understanding of Salesforce architectural concepts.
Guide to Discrete Mathematics
This stimulating textbook presents a broad and accessible guide to the fundamentals of discrete mathematics, highlighting how the techniques may be applied to various exciting areas in computing. The text is designed to motivate and inspire the reader, encouraging further study in this important skill. Features: This book provides an introduction to the building blocks of discrete mathematics, including sets, relations and functions; describes the basics of number theory, the techniques of induction and recursion, and the applications of mathematical sequences, series, permutations, and combinations; presents the essentials of algebra; explains the fundamentals of automata theory, matrices, graph theory, cryptography, coding theory, language theory, and the concepts of computability and decidability; reviews the history of logic, discussing propositional and predicate logic, as well as advanced topics such as the nature of theorem proving; examines the field of software engineering, including software reliability and dependability and describes formal methods; investigates probability and statistics and presents an overview of operations research and financial mathematics.
Doctoral Symposium on Information and Communication Technologies
This book constitutes the refereed proceedings of the Second Doctoral Symposium on Information and Communication Technologies, DSICT 2022, held in Manta, Ecuador, in October 2022. The 15 full papers were thoroughly reviewed and selected from the 72 submissions. The papers present research in areas of intelligent systems, artificial intelligence, ICTs and their applications to the real world.
Blockchain for International Security
This book intersects the distributed ledger technology (DLT) community with the international security community. Given the increasing application of blockchain technology in the fields of business and international development, there is a growing body of study on other use cases. For instance, can blockchain have a significant role in preserving and improving international security? This book explores this question in the context of preventing the proliferation of some of the most dangerous materials in the world-items that if not secured can lend to the development of weapons of mass destruction. It considers how blockchain can increase efficiencies in the global trade of nuclear and chemical materials and technology, thereby increasing assurances related to compliance with international nonproliferation and disarmament treaties.
Beyond Smart Cities
Cities are experiencing unprecedented times. In addition of managing the best possible post-pandemic recovery, Cities are at the beginning of the 4th industrial revolution, and all want to play a relevant role in it. To achieve this, they must retain and attract the necessary talent. There is a fierce competition where cities transform to become as attractive as possible. But what makes a city attractive (from emotional and rational sides) to talented citizens? For mayors and city directors: how can I prepare my city for this goal? What kind of transformations in the medium-long term should I develop? And in the short term, what processes and technologies (SmartCity) should I put in place? And from the point of view of citizens: how do I choose the best city to develop my full potential? Which one offers me the best citizenship contract? Where am I going to enjoy the best services with the highest quality of life and lower taxes/cost of life? In addition, the city must be attractive, with a strong identity and dynamism and promising future. Can I find the cities that best suit my aesthetic and emotional preferences, and that also offer me the services that I consider a priority at the lowest cost to my pocket? Find all the answers in this book.
