Computer Science and Education. Computer Science and Technology
T​his three-volume set constitues selected papers presented at the 18th International Conference on Computer Science and Education, ICCSE 2023, held in Sepang, Malaysia, in December 2023. The 106 full papers and 36 short papers presented were thoroughly reviewed and selected from the 305 submissions. They focus on a wide range of computer science topics, especially AI, data science, and engineering, and technology-based education, by addressing frontier technical and business issues essential to the applications of data science in both higher education and advancing e-Society.
Machine Learning, Optimization, and Data Science
This book constitutes the refereed proceedings of the 9th International Conference on Machine Learning, Optimization, and Data Science, LOD 2023, which took place in Grasmere, UK, in September 2023. The 72 full papers included in this book were carefully reviewed and selected from 119 submissions. The proceedings also contain 9 papers from and the Third Symposium on Artificial Intelligence and Neuroscience, ACAIN 2023. The contributions focus on the state of the art and the latest advances in the integration of machine learning, deep learning, nonlinear optimization and data science to provide and support the scientific and technological foundations for interpretable, explainable and trustworthy AI.
Applied Intelligence
This 2-volume set CCIS 2014 and CCIS 2015 constitutes the post-conference proceedings of the First International Conference on Applied Intelligence, ICAI 2023, held in Nanning, China, December 8-12, 2023.The 64 full papers presented in this proceedings were carefully selected and reviewed from 228 submissions. The papers cover a wide range on theoretical aspects of biomedical data modeling and mining; computer vision; and deep learning. They were organized in topical sections as follows: Part I: Biomedical data modeling and mining; computer vision; deep learning; Part II: Intelligent control and automation; machine learning; natural language processing and computational linguistics.
Machine Learning, Optimization, and Data Science
This book constitutes the refereed proceedings of the 9th International Conference on Machine Learning, Optimization, and Data Science, LOD 2023, which took place in Grasmere, UK, in September 2023. The 72 full papers included in this book were carefully reviewed and selected from 119 submissions. The proceedings also contain 9 papers from and the Third Symposium on Artificial Intelligence and Neuroscience, ACAIN 2023. The contributions focus on the state of the art and the latest advances in the integration of machine learning, deep learning, nonlinear optimization and data science to provide and support the scientific and technological foundations for interpretable, explainable and trustworthy AI.
Computer Science and Education. Educational Digitalization
T​his three-volume set constitues selected papers presented at the 18th International Conference on Computer Science and Education, ICCSE 2023, held in Sepang, Malaysia, in December 2023. The 106 full papers and 36 short papers presented were thoroughly reviewed and selected from the 305 submissions. They focus on a wide range of computer science topics, especially AI, data science, and engineering, and technology-based education, by addressing frontier technical and business issues essential to the applications of data science in both higher education and advancing e-Society.
Computer Science and Education. Teaching and Curriculum
T​his three-volume set constitues selected papers presented at the 18th International Conference on Computer Science and Education, ICCSE 2023, held in Sepang, Malaysia, in December 2023. The 106 full papers and 36 short papers presented were thoroughly reviewed and selected from the 305 submissions. They focus on a wide range of computer science topics, especially AI, data science, and engineering, and technology-based education, by addressing frontier technical and business issues essential to the applications of data science in both higher education and advancing e-Society.
ICT Innovations 2023. Learning: Humans, Theory, Machines, and Data
This book constitutes the refereed proceedings of the 15th International Conference on ICT Innovations 2023. Learning: Humans, Theory, Machines, and Data, ICT Innovations 2023, held in Ohrid, North Macedonia during September 24-26, 2023.The 17 full papers included in this book were carefully reviewed and selected from 52 submissions. They are organized in sections by topics as follows: AI and natural language processing; bioinformatics; dew computing; e-learning and e-services; image processing; network science; theoretical informatics.
Data Mining and Big Data
This two-volume set, CCIS 2017 and 2018 constitutes the 8th International Conference, on Data Mining and Big Data, DMBD 2023, held in Sanya, China, in December 2023. The 38 full papers presented in this two-volume set included in this book were carefully reviewed and selected from 79 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 Mining and Big Data
This two-volume set, CCIS 2017 and 2018 constitutes the 8th International Conference, on Data Mining and Big Data, DMBD 2023, held in Sanya, China, in December 2023. The 38 full papers presented in this two-volume set included in this book were carefully reviewed and selected from 79 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-Centric Business and Applications
This book examines aspects of financial and investment processes, as well as the application of information technology mechanisms to business and industrial management, using the experience of the Ukrainian economy as an example. An effective tool for supporting business data processing is combining modern information technologies and the latest achievements in economic theory. The variety of industrial sectors studied supports the continuous acquisition and use of efficient business analysis in organizations. In addition, the book elaborates on multidisciplinary concepts, examples, and practices that can be useful for researching the evolution of developments in the field. Also, in this book, there is a description of analysis methods for making decisions in business, finance, and innovation management.
Data-Centric Business and Applications
This book examines aspects of financial and investment processes, as well as the application of information technology mechanisms to business and industrial management, using the experience of the Ukrainian economy as an example. An effective tool for supporting business data processing is combining modern information technologies and the latest achievements in economic theory. The variety of industrial sectors studied supports the continuous acquisition and use of efficient business analysis in organizations. In addition, the book elaborates on multidisciplinary concepts, examples, and practices that can be useful for researching the evolution of developments in the field. Also, in this book, there is a description of analysis methods for making decisions in business, finance, and innovation management.
Mastering Snowflake Platform
Handling ever evolving data for business needs can get complex. Traditional methods create bulky and costly-to-maintain data systems. Here, Snowflake emerges as a cost-effective solution, catering to both traditional and modern data needs with zero or minimal maintenance costs. This book helps you grasp Snowflake, guiding you to create complete solutions from start to finish. The starting focus covers Snowflake architecture, key features, native loading and unloading capabilities, ANSI SQL support, and processing of diverse data types and objects. The next part utilizes acquired knowledge to look into implementing data security, governance, and collaborations, utilizing Snowflake's features like data sharing and cloning.
The Power of Prediction in Health Care
In this comprehensive guide, I offer valuable insights tailored for data science graduate students and early career researchers stepping into the dynamic world of data science. My distinctive background merges clinical medicine with data science expertise, holding an MBBS, an MBA in Healthcare, and a Ph.D. in Artificial Intelligence in Healthcare. This diverse foundation allows me to bridge the gap between these two fields. During my early career and Ph.D. journey in data science, I encountered and surmounted the challenges of navigating complex data analysis and machine learning, despite lacking a computer science background. Today, I'm excited to share the knowledge and experiences I've gained with newcomers in the field.Within the pages of this book, you'll discover a structured, step-by-step approach to conceptualizing, designing, and executing data science projects within the healthcare domain. Tailored for graduate students and early career researchers, this educational journey equips you with practical skills and knowledge to harness the remarkable potential of data science in healthcare. This book offers: - A systematic guide for planning and executing data science projects in healthcare. - A beginner-friendly structure designed to facilitate project development. - Direct links to valuable resources and open-source tools for creating and executing AI projects in healthcare. - Access to freely available healthcare databases. - Real-world case studies illustrating the construction of data science projects. Whether you're a healthcare professional looking to expand your skill set or a budding data scientist seeking to make a meaningful impact in the healthcare sector, 'The Power of Prediction in Health Care' is an invaluable companion for unlocking the potential of data science in healthcare. Filled with practical examples and actionable advice drawn from real-world scenarios, this book empowers you to make data-driven decisions that enhance patient outcomes and reshape the healthcare landscape.
Influence Unleashed
"Influence Unleashed: How to Make Your Social Media Presence Strong" is the most important book you need to learn how to use digital influence in the fast-paced world of social media. This book, written by the experienced expert Lucia Santoro, is a complete guide that gives people and companies the tools they need to not only survive but also thrive in the constantly changing world of social media."Influence Unleashed" is the ultimate guide to building a strong and influential social media presence in a world where being seen online is the same thing as being successful. This book gives you tried-and-true methods and useful information to make your mark in the digital world, whether you want to be an influencer, an entrepreneur, or a worker who wants to improve your personal brand.Lucia Santoro is a pioneer in the field of social media impact. In this book, she distills her years of experience and knowledge into an interesting story that reveals how to build a strong and lasting online presence. Each part is a treasure trove of information meant to help you become successful on social media. It covers everything from finding your target audience and creating your personal brand to using the newest social media analytics tools and following the latest trends.Learn how to use pictures and videos to tell stories, how to understand the different types of people who might be interested in your content, and how to get the most out of working with influential people in your area. It's not just about ideas; "Influence Unleashed" also tells you how to engage your audience in a real way, get more likes, comments, and shares, and react to comments and messages in a good way.Diversifying your income streams, looking into sponsored content and affiliate marketing, and making the most of your e-commerce channels on social media sites are all things you can do to stay ahead of the pack. It's not just about short-term gains; the book also talks about how to make deep, long-lasting relationships with your audience."Influence Unleashed" by Lucia Santoro is a lively guide that gets to the heart of what it takes to do well in the constantly changing world of social media. This book is your guide to navigating the digital world, claiming your influence, and making your social media presence not just strong but truly powerful. It is full of real-life examples, case studies, and tips that you can use right away. This is the guide you've been waiting for to get the most out of your online impact, no matter how much experience you have with social media.
Chinese Lexical Semantics
This book constitutes the refereed proceedings of the 24th Workshop on Chinese Lexical Semantics, CLSW 2023, held in Singapore, during May 19-21, 2023. The 61 full papers and 15 short papers included in this book were carefully reviewed and selected from 215 submissions. They are organized in the following topical sections: lexical semantics and related fields, including Theoretical Linguistics, Applied Linguistics, Computational Linguistics, Computational Lexicography, Phycological Linguistics, and Sociological linguistics.
Computational Data and Social Networks
This book constitutes the refereed conference proceedings of the 12th International Conference on Computational Data and Social Networks, CSoNet 2023, held in Hanoi, Vietnam, in December 2023.The 23 full papers and 14 short papers presented in this book were carefully reviewed and selected from 64 submissions. The papers are divided into the following topical sections: machine learning and prediction; optimization; security and blockchain; and network analysis.
Mastering MongoDB 7.0 - Fourth Edition
Gain MongoDB expertise and discover advanced queries and Atlas insights with this ultimate guide to version 7.0Key FeaturesEnhance your proficiency in advanced queries, aggregation, and optimized indexing to achieve peak MongoDB performanceMonitor, back up, and integrate applications effortlessly with MongoDB AtlasImplement security thorough RBAC, auditing, and encryption to ensure comprehensive data protection and privacyPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionMastering MongoDB 7.0 explores the latest version of MongoDB, an exceptional NoSQL database solution that aligns with the needs of modern web applications. This book starts with an informative overview of MongoDB's architecture and developer tools, guiding you through the process of connecting to databases seamlessly. This MongoDB book explores advanced queries in detail, including aggregation pipelines and multi-document ACID transactions. It delves into the capabilities of the MongoDB Atlas developer data platform and the latest features, such as Atlas Vector Search, and their role in AI applications, enabling developers to build applications with the scalability and performance that today's organizations need. It also covers the creation of resilient search functionality using MongoDB Atlas Search. Mastering MongoDB 7.0's deep coverage of advanced techniques encompasses everything from role-based access control (RBAC) to user management, auditing practices, and encryption across data, network, and storage layers. By the end of this book, you'll have developed the skills necessary to create efficient, secure, and high-performing applications using MongoDB. You'll have the confidence to undertake complex queries, integrate robust applications, and ensure data security to overcome modern data challenges.What you will learnExecute advanced MongoDB queries for intricate data insightsHarness the power of aggregation pipelines to transform dataEnsure data integrity with multi-document ACID transactionsOptimize query performance using strategic indexing techniquesNavigate MongoDB Atlas seamlessly for monitoring and backupsEnable robust search functionality with Atlas SearchMaster RBAC, user management, and data encryption for securityImplement auditing practices for transparency and accountabilityWho this book is forThis book is for developers with an intermediate skill level who aim to become MongoDB experts. Working knowledge of MongoDB is recommended to gain the most from this guide. Ideal for database administrators, app developers, and software engineers, this book will assist you in developing advanced skills to conquer intricate data tasks.Table of ContentsIntroduction to MongoDBThe MongoDB ArchitectureDeveloper ToolsConnecting to MongoDBCRUD Operations and Basic QueriesSchema Design and Data ModelingAdvanced Querying in MongoDBAggregationMulti-Document ACID TransactionsIndex OptimizationMongoDB Atlas: Powering the Future of Developer Data PlatformsMonitoring and Backup in MongoDBIntroduction to Atlas SearchIntegrating Applications with MongoDBSecurityAuditingEncryption
Advanced Engineering, Technology and Applications
This book constitutes the Revised Selected Papers of the Second International Conference, ICAETA 2023, held in Istanbul, Turkey, during March 10-11, 2023.The 37 full papers included in this volume were carefully reviewed and selected from 139 submissions. The topics cover a range of areas related to engineering, technology, and applications. Main themes of the conference include, but are not limited to: Data Analysis, Visualization and Applications; Artificial Intelligence, Machine Learning and Computer Vision; Computer Communication and Networks; Signal Processing and Applications; Electronic Circuits, Devices, and Photonics; Power Electronics and Energy Systems.
Winning with Data Science
Whether you are a newly minted MBA or a project manager at a Fortune 500 company, data science will play a major role in your career. Knowing how to communicate effectively with data scientists in order to obtain maximum value from their expertise is essential. This book is a compelling and comprehensive guide to data science, emphasizing its real-world business applications and focusing on how to collaborate productively with data science teams. Taking an engaging narrative approach, Winning with Data Science covers the fundamental concepts without getting bogged down in complex equations or programming languages. It provides clear explanations of key terms, tools, and techniques, illustrated through practical examples. The book follows the stories of Kamala and Steve, two professionals who need to collaborate with data science teams to achieve their business goals. Howard Steven Friedman and Akshay Swaminathan walk readers through each step of managing a data science project, from understanding the different roles on a data science team to identifying the right software. They equip readers with critical questions to ask data analysts, statisticians, data scientists, and other technical experts to avoid wasting time and money. Winning with Data Science is a must-read for anyone who works with data science teams or is interested in the practical side of the subject.
Data Observability for Data Engineering
Discover actionable steps to maintain healthy data pipelines to promote data observability within your teams with this essential guide to elevating data engineering practicesKey FeaturesLearn how to monitor your data pipelines in a scalable wayApply real-life use cases and projects to gain hands-on experience in implementing data observabilityInstil trust in your pipelines among data producers and consumers alikePurchase of the print or Kindle book includes a free PDF eBookBook DescriptionIn the age of information, strategic management of data is critical to organizational success. The constant challenge lies in maintaining data accuracy and preventing data pipelines from breaking. Data Observability for Data Engineering is your definitive guide to implementing data observability successfully in your organization.This book unveils the power of data observability, a fusion of techniques and methods that allow you to monitor and validate the health of your data. You'll see how it builds on data quality monitoring and understand its significance from the data engineering perspective. Once you're familiar with the techniques and elements of data observability, you'll get hands-on with a practical Python project to reinforce what you've learned. Toward the end of the book, you'll apply your expertise to explore diverse use cases and experiment with projects to seamlessly implement data observability in your organization.Equipped with the mastery of data observability intricacies, you'll be able to make your organization future-ready and resilient and never worry about the quality of your data pipelines again.What you will learnImplement a data observability approach to enhance the quality of data pipelinesCollect and analyze key metrics through coding examplesApply monkey patching in a Python moduleManage the costs and risks associated with your data pipelineUnderstand the main techniques for collecting observability metricsImplement monitoring techniques for analytics pipelines in productionBuild and maintain a statistics engine continuouslyWho this book is forThis book is for data engineers, data architects, data analysts, and data scientists who have encountered issues with broken data pipelines or dashboards. Organizations seeking to adopt data observability practices and managers responsible for data quality and processes will find this book especially useful to increase the confidence of data consumers and raise awareness among producers regarding their data pipelines.Table of ContentsFundamentals of Data Quality MonitoringFundamentals of Data ObservabilityData Observability techniquesData Observability elementsDefining rules on indicatorsRoot cause analysisOptimizing data pipelinesIntroducing and changing culture in the team Data observability checklistUse Cases
Benchmarking, Measuring, and Optimizing
This book constitutes the refereed proceedings of the 14th BenchCouncil International Symposium on Benchmarking, Measuring, and Optimizing, Bench 2023, held in Sanya, China, during December 3-5, 2023. The 11 full papers included in this book were carefully reviewed and selected from 20 submissions. The Bench symposium invites papers that exhibit three defining characteristics: (1) It provides a high-quality, single-track forum for presenting results and discussing ideas that further the knowledge and understanding of the benchmark community; (2) It is a multi-disciplinary conference, attracting researchers and practitioners from different communities, including architecture, systems, algorithms, and applications; (3) The program features both invited and contributed talks.
Redis Stack for Application Modernization
Discover the multi-model capabilities of Redis Stack as a document store and vector database, with support for time series, stream processing, probabilistic data structures, and moreKey FeaturesModel, index, and search data using JSON and vector data typesModernize your applications with vector similarity search, documents hybrid search, and moreConfigure a scalable, highly available, and secure server using RedisInsightPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionIn modern applications, efficiency in both operational and analytical aspects is paramount, demanding predictable performance across varied workloads. This book introduces you to Redis Stack, an extension of Redis and guides you through its broad data modeling capabilities. With practical examples of real-time queries and searches, you'll explore Redis Stack's new approach to providing a rich data modeling experience all within the same database server.You'll learn how to model and search your data in the JSON and hash data types and work with features such as vector similarity search, which adds semantic search capabilities to your applications to search for similar texts, images, or audio files. The book also shows you how to use the probabilistic Bloom filters to efficiently resolve recurrent big data problems. As you uncover the strengths of Redis Stack as a data platform, you'll explore use cases for managing database events and leveraging introduce stream processing features. Finally, you'll see how Redis Stack seamlessly integrates into microservices architectures, completing the picture.By the end of this book, you'll be equipped with best practices for administering and managing the server, ensuring scalability, high availability, data integrity, stored functions, and more.What you will learnGet started with data modeling using JSON and hash documents, vectors, and time seriesImplement microservices patterns and resolve typical use casesUse probabilistic data structures to analyze datasets and streamsIntegrate Redis Stack into your Java, Python, C#, Golang, and Node.js projectsDevelop powerful data flows using triggers and stream processing featuresManage your database server for scalability, high availability, and securityVisualize and manage your data with RedisInsightWho this book is forThis book is for database administrators, database developers, software developers, and software architects who want to discover the powerful real-time, multi-model capabilities of the Redis Stack database. A basic understanding of Redis and databases in general, coupled with software development skills in at least one of Java, Python, C#, Golang, or JavaScript languages will help you understand the concepts covered in this book.Table of ContentsIntroducing Redis StackResolving Use Cases with Redis StackGetting Started with Redis StackSetting Up Client LibrariesRedis Stack as a document storeRedis Stack as a vector databaseRedis Stack as a time series databaseUnderstanding Probabilistic Data StructuresProgrammability of Redis StackRedisInsight: the Data Management GUIUsing Redis Stack as a primary databaseManaging development and production environments
Statistics Using Python
This book is designed to offer a fast-paced yet thorough introduction to essential statistical concepts using Python code samples, and aims to assist data scientists in their daily endeavors. The ability to extract meaningful insights from data requires a deep understanding of statistics. The book ensures that each topic is introduced with clarity, followed by executable Python code samples that can be modified and applied according to individual needs. Topics include working with data and exploratoryanalysis, the basics of probability, descriptive and inferential statistics and their applications, metrics for data analysis, probability distributions, hypothesis testing, and more. Appendices on Python and Pandas have been included. From foundational Python concepts to the intricacies of statistics, this book serves as a comprehensive resource for both beginners and seasoned professionals. FEATURESProvides Python code samples to ensure readers can immediately apply what they learnCovers everything from basic data handling to advanced statistical conceptsFeatures downloadable companion files with code samples and figuresIncludes two appendices, An Introduction to Python and an Introduction to Pandas as refresher material
Smart Objects and Technologies for Social Good
This book constitutes the refereed post-conference proceedings of the 9th EAI International Conference on Smart Objects and Technologies for Social Goods, GOODTECHS 2023, held in Leiria, Portugal, during October 18-20, 2023.The 13 full papers included in this book were carefully reviewed and selected from 30 submissions. They were organized in topical sections as follows: designing, implementing, deploying, operating, and evaluating smart objects and technologies for social benefit.
Intelligent Computers, Algorithms, and Applications
This book constitutes the proceedings of the Third BenchCouncil International Symposium on Intelligent Computers, Algorithms, and Applications, IC 2023, which took place in Sanya, China, in December 2023. The 18 full papers and 8 short papers included in this book were carefully reviewed and selected from 50 submissions. They were organized in topical sections as follows: AI Algorithms and Systems; AI for Ocean science and engineering; AI in finance; AI for education; AI for materials science and engineering; AI for medicine; AI for civil aviation; AI for high energy physics; AI for law.
Spatial SQL
Spatial SQL: A Practical Approach to Modern GIS Using SQLby Matthew ForrestLearn to create, index and query spatial databases using SQL that applies to PostgreSQL/PostGIS and more.Learn how to use Spatial SQL to analyze and manipulate geographic data. This book covers everything from basic spatial queries to advanced spatial analysis techniques all using SQL. Even if you don't know how SQL, this book starts from the beginning all the way to advanced queries.Over 500 pages covers a comprehensive set of GIS topics.Why SQL? - The evolution to modern GIS, why spatial SQL matters, and the spatial SQL landscape todaySetting up - Installing PostGIS with Docker on any operating systemThinking in SQL - How to move from desktop GIS to SQL and learn how to structure queries independentlyThe basics of SQL - Import data to PostgreSQL and PostGIS, SQL data types, and core SQL operationsAdvanced SQL - Statistical functions, joins, window functions, managing data, and user-defined functionsUsing the GEOMETRY - Working with GEOMETRY and GEOGRAPHY data, data manipulation, and measurementsSpatial relationships - Spatial joins, distance relationships, clustering, and overlay functionsSpatial analysis - Recreate common spatial analysis "toolbox" tools all in spatial SQLAdvanced analysis - Data enrichment, line of sight, kernel density estimation, and moreRaster data - Importing, analyzing, interpolating, and using H3 spatial indexes with raster data in PostGISSuitability analysis - Importing, analyzing, interpolating, and using H3 spatial indexes with raster data in PostGISRouting with pgRouting - Routing for cars and bikes, travel time isochrones, and traveling salesperson problemSpatial data science - Spatial autocorrelation, location allocation, and create territories with PySAL in PostGIS
Mapping the Enterprise
One of the hardest tasks strategists and enterprise architects face is mapping an enterprise in a form that creates and supports making sense of the whole. This book introduces an alternate approach to create consistency at every level by modelling the enterprise as services with the Enterprise Canvas. This new model type that can be used to describe just about anything in any area and at any level of the enterprise, and that acts as a consistent frame for all the other models that we need in our architectures. It is also simple enough to scribble on the back of a napkin - and engage all of your stakeholders in the enterprise-scale conversations you need. There is also a simple notation for Enterprise Canvas that is suitable for use in service-design toolsets. The book teaches the use of architectural techniques to describe any aspect of the enterprise. It will help you identify the business reasons and business value for every activity, and you will also learn how to align strategy, tactics and operations to enterprise vision and values. By the end of this book, you will understand how an enterprise works as a web of services, and what needs to be done to make your enterprise work in the best possible way. What You'll Learn Gain insight into the concepts of service to enhance agility, adaptability and resilience.Understand how to enhance efficiency and effectiveness throughout the enterprise.Grasp how an enterprise is made up of services that each serve an overall set of needs Who This Book Is For Enterprise architects, Business architects, IT architects and process designers.
Computer Applications
The two-volume set CCIS 1959 and 1960 constitutes the refereed post-conference proceedings of the 38th CCF National Conference on Computer Applications, CCF NCCA 2023, held in Suzhou, China, during July 16-20, 2023.The 39 revised full papers presented in these proceedings were carefully reviewed and selected from 197 submissions. The papers are organized in the following topical sections: Volume I: Artificial intelligence and application. Volume II: Data science and technology; pattern recognition and machine learning; network communication and security; frontier and comprehensive applications.
Big Data
This book constitutes the refereed proceedings of the 11th CCF Conference on BigData 2023, which took place in Nanjing, China, in September 2023. The 14 full papers presented in this volume were carefully reviewed and selected from 69 submissions. The topics of accepted papers include theories and methods of data science, algorithms and applications of big data.
Operations Research and Enterprise Systems
This book includes extended and revised versions of selected papers from the 11th and 12th editions of the International Conference on Operations Research and Enterprise Systems (ICORES 2022 and ICORES 2023). ICORES 2022 was held as a virtual event in February 2022, and ICORES 2023 was held in Lisbon, Portugal, in February 2023. The 5 full papers included in this book were carefully reviewed and selected from the 55 submissions for ICORES 2022, and 8 full papers were reviewed and selected from the 55 submissions for ICORES 2023. The papers are focused on operations research and enterprise systems.
Transfer, Diffusion and Adoption of Next-Generation Digital Technologies
This book constitutes the refereed proceedings of the IFIP WG 8.6 International Working Conference on Transfer and Diffusion of IT, TDIT 2023, which took place in Nagpur, India, in December 2023. The 87 full papers and 23 short papers presented in these proceedings were carefully reviewed and selected from 209 submissions. The papers are organized in the following topical sections: Volume I: Digital technologies (artificial intelligence) adoption; digital platforms and applications; digital technologies in e-governance; metaverse and marketing. Volume II: Emerging technologies adoption; general IT adoption; healthcare IT adoption. Volume III: Industry 4.0; transfer, diffusion and adoption of next-generation digital technologies; diffusion and adoption of information technology.
Transfer, Diffusion and Adoption of Next-Generation Digital Technologies
This book constitutes the refereed proceedings of the IFIP WG 8.6 International Working Conference on Transfer and Diffusion of IT, TDIT 2023, which took place in Nagpur, India, in December 2023. The 87 full papers and 23 short papers presented in these proceedings were carefully reviewed and selected from 209 submissions. The papers are organized in the following topical sections: Volume I: Digital technologies (artificial intelligence) adoption; digital platforms and applications; digital technologies in e-governance; metaverse and marketing. Volume II: Emerging technologies adoption; general IT adoption; healthcare IT adoption. Volume III: Industry 4.0; transfer, diffusion and adoption of next-generation digital technologies; diffusion and adoption of information technology.
Algorithms and Discrete Applied Mathematics
This book constitutes the refereed proceedings of the 10th International Conference on Algorithms and Discrete Applied Mathematics, CALDAM 2024, held in Bhilai, India during February 15-17, 2024. The 22 full papers included in this book were carefully reviewed and selected from 57 submissions. They were organized in topical sections as follows: Algorithms and Complexity; Computational Geometry; Discrete Applied Mathematics; Graph Algorithms; Graph Theory.
Practical Aspects of Declarative Languages
This book constitutes the refereed proceedings of the 26th International Conference on Practical Aspects of Declarative Languages, PADL 2024, held in London, UK, during January 17-19, 2024.The 13 full papers included in this book were carefully reviewed and selected from 25 submissions. The accepted papers span a range of topics related to functional and logic programming, including reactive programming, hardware implementations, implementation of marketplaces, query languages, and applications of declarative programming techniques to artificial intelligence and machine learning.
Large-Scale Data Analytics with Python and Spark
Based on the authors' extensive teaching experience, this hands-on graduate-level textbook teaches how to carry out large-scale data analytics and design machine learning solutions for big data. With a focus on fundamentals, this extensively class-tested textbook walks students through key principles and paradigms for working with large-scale data, frameworks for large-scale data analytics (Hadoop, Spark), and explains how to implement machine learning to exploit big data. It is unique in covering the principles that aspiring data scientists need to know, without detail that can overwhelm. Real-world examples, hands-on coding exercises and labs combine with exceptionally clear explanations to maximize student engagement. Well-defined learning objectives, exercises with online solutions for instructors, lecture slides, and an accompanying suite of lab exercises of increasing difficulty in Jupyter Notebooks offer a coherent and convenient teaching package. An ideal teaching resource for courses on large-scale data analytics with machine learning in computer/data science departments.
Volunteered Geographic Information
This open access book includes methods for retrieval, semantic representation, and analysis of Volunteered Geographic Information (VGI), geovisualization and user interactions related to VGI, and discusses selected topics in active participation, social context, and privacy awareness. It presents the results of the DFG-funded priority program "VGI: Interpretation, Visualization, and Social Computing" (2016-2023).The book includes three parts representing the principal research pillars within the program. Part I "Representation and Analysis of VGI" discusses recent approaches to enhance the representation and analysis of VGI. It includes semantic representation of VGI data in knowledge graphs; machine-learning approaches to VGI mining, completion, and enrichment as well as to the improvement of data quality and fitness for purpose. Part II "Geovisualization and User Interactions related to VGI" book explores geovisualizations and user interactions supporting the analysis and presentation of VGI data. When designing these visualizations and user interactions, the specific properties of VGI data, the knowledge and abilities of different target users, and technical viability of solutions need to be considered. Part III "Active Participation, Social Context and Privacy Awareness" of the book addresses the human impact associated with VGI. It includes chapters on the use of wearable sensors worn by volunteers to record their exposure to environmental stressors on their daily journeys, on the collective behavior of people using location-based social media and movement data from football matches, and on the motivation of volunteers who provide important support in information gathering, filtering and analysis of social media in disaster situations.The book is of interest to researchers and advanced professionals in geoinformation, cartography, visual analytics, data science and machine learning.
Ai-Based Data Analytics
This book covers various topics related to marketing and business analytics. It explores how organizations can increase their profits by making better decisions in a timely manner through the use of data analytics. This book is meant for students, practitioners, industry professionals, researchers, and academics working in the field of commerce and marketing, big data analytics, and organizational decision-making. Highlights of the book include: The role of Explainable AI in improving customer experiences in e-commerce Sentiment analysis of social media Data analytics in business intelligence Federated learning for business intelligence AI-based planning of business management An AI-based business model innovation in new technologies An analysis of social media marketing and online impulse buying behaviour AI-Based Data Analytics: Applications for Business Management has two primary focuses. The first is on analytics for decision-making and covers big data analytics for market intelligence, data analytics and consumer behavior, and the role of big data analytics in organizational decision-making. The book's second focus is on digital marketing and includes the prediction of marketing by consumer analytics, web analytics for digital marketing, smart retailing, and leveraging web analytics for optimizing digital marketing strategies.
Getting Started with Enterprise Architecture
Implement a basic Enterprise Architecture from start to finish using a four-stage, wheel-based approach. Aided by real-world examples, this book shows what elements are needed for the initial implementation of a fundamental Enterprise Architecture. The book's pragmatic approach keeps existing architecture frameworks and methodologies in mind while providing instructions that are readable and applicable to all. The Enterprise Architecture Implementation Wheel builds on the methodology of existing architecture frameworks and allows you to apply the theory more pragmatically and closer to the reality that an architect encounters in daily practice. While the main focus of the book is on the actual steps taken to design an Enterprise Architecture, other important topics include architecture origin, definition, domains, visualization, and roles. Getting Started with Enterprise Architecture is the ideal handbook for the architect who is asked to implement an Enterprise Architecture in an existing organization. What You'll Learn Identify a company's needs and develop an appropriate strategy to satisfy those needs Implement measurable goals and objectives for a baseline architecture Create meaningful catalogues, diagrams, and maps to communicate the architecture to an organization Measure the progress of implementing the architecture Who This Book Is For Novice (Enterprise and Business) architects Senior management Executives
The Ultimate Guide to Functions in Power Query
This book is a complete guide to using functions in Power Query and is designed to help users of all skill levels learn and master its various functions. The Ultimate Guide to Functions in Power Query begins with an introduction to Power Query and an overview of the different types of functions available, along with detailed explanations of how to use each of them. You'll see how to leverage power functions to process and transform large datasets from various sources and learn advanced techniques such as creating custom functions and using conditional statements. The book also covers best practices for using functions, including tips on how to optimize query performance and troubleshoot common errors. Using practical example applications, Author Omid Motamedisedeh demonstrates how to optimize your data processing workflows, saving time and boosting productivity. By the end of the book, readers will have a deep understanding of Power Query functions and be ableto apply their knowledge to a wide range of data analysis tasks. What You Will Learn Master the fundamentals of Power Query, including how to load and transform data from various sourcesUnderstand all the functions available in Power Query, including text, date/time, logical, numeric, and moreUse functions to transform data and perform complex calculationsEmploy advanced techniques such as custom functions, conditional statements, and working with parametersOptimize query performance, handle errors, and use the M language effectivelyUse real-world examples and exercises to hone your skills and gain practical experience with the tool Who This Book Is For Anyone who wants to learn how to use functions in Power Query to transform and analyze data. This includes data analysts, business analysts, Excel users, and data scientists. Readers should have a basic understanding of Excel and data analysis concepts, but may be new to Power Query and functions.
Data Science and Machine Learning
This book constitutes the proceedings of the 21st Australasian Conference on Data Science and Machine Learning, AusDM 2023, held in Auckland, New Zealand, during December 11-13, 2023.The 20 full papers presented in this book were carefully reviewed and selected from 50 submissions. The papers are organized in the following topical sections: research track and application track. They deal with topics around data science and machine learning in everyday life.
Advances in Information Systems, Artificial Intelligence and Knowledge Management
This book constitutes the refereed proceedings of the 6th International Conference on Information and Knowledge Systems, ICIKS 2023, held in Portsmouth, UK, during June 22-23, 2023.The 18 full papers and 6 short papers included in this book were carefully reviewed and selected from 58 submissions. They were organized in topical sections as follows: Decision Making, Recommender Systems, and Information Support Systems; Information Systems and Machine Learning; Knowledge Management, Context and Ontology; Cybersecurity and Intelligent Systems; and Natural Language Processing for Decision Systems.
Computing and Informatics
This book constitutes the revised selected papers of the 9th International conference, ICOCI 2023, held in Kuala Lumpur, Malaysia, during September 13-15, 2023.The 55 full papers included in this volume were carefully reviewed and selected from 134 submissions. The papers focus on ensuring cybersecurity and privacy, digital media and information literacy, navigating AI development and deployment, harnessing technology for sustainable development, digital healthcare and well-being, education transformation through technology, digital entrepreneurship and innovation.
Security and Privacy in Cyber-Physical Systems and Smart Vehicles
This book constitutes the refereed proceedings of the First EAI International Conference, SmartSP 2023, held in Chicago, USA, during October 12-13, 2023. The 11 revised full papers were carefully reviewed and selected from 24 submissions. The papers focus on all details all technological aspects that are relevant to Security and privacy in cyber-physical systems.
Management of Digital Ecosystems
This book constitutes the revised selected papers of the 15th International Conference, MEDES 2023, Heraklion, Crete, Greece, May 5-7, 2023The 29 full papers included in this volume were carefully reviewed and selected from 52 submissions. The papers focus on the following topics: Design Issues & BlockChain, Query Processing and Visualization, Learning Issues, Services and Systems, Business and Communication Technologies, Digital Twin and Security, Architecture Technologies, Time and Text Management.
Computing and Informatics
This book constitutes the revised selected papers of the 9th International conference, ICOCI 2023, held in Kuala Lumpur, Malaysia, during September 13-15, 2023.The 55 full papers included in this volume were carefully reviewed and selected from 134 submissions. The papers focus on ensuring cybersecurity and privacy, digital media and information literacy, navigating AI development and deployment, harnessing technology for sustainable development, digital healthcare and well-being, education transformation through technology, digital entrepreneurship and innovation.
Big Data and Artificial Intelligence
This book constitutes the proceedings of the 11th International Conference on Big Data and Artificial Intelligence, BDA 2023, held in Delhi, India, during December 7-9, 2023. The17 full papers presented in this volume were carefully reviewed and selected from 67 submissions. The papers are organized in the following topical sections: ​Keynote Lectures, Artificial Intelligence in Healthcare, Large Language Models, Data Analytics for Low Resource Domains, Artificial Intelligence for Innovative Applications and Potpourri.
Energy Informatics
This two-volume set LNCS 14467-14468 constitutes the proceedings of the First Energy Informatics Academy Conference, EI.A 2023, held in Campinas, Brazil, in December 2023. The 39 full papers together with 8 short papers included in these volumes were carefully reviewed and selected from 53 submissions. The conference focuses on the application of digital technology and information management to facilitate the global transition towards sustainable and resilient energy systems.
