Web Information Systems Engineering - Wise 2023
This book constitutes the proceedings of the 24th International Conference on Web Information Systems Engineering, WISE 2023, held in Melbourne, Victoria, Australia, in October 2023.The 33 full and 40 short papers were carefully reviewed and selected from 137 submissions. They were organized in topical sections as follows: text and sentiment analysis; question answering and information retrieval; social media and news analysis; security and privacy; web technologies; graph embeddings and link predictions; predictive analysis and machine learning; recommendation systems; natural language processing (NLP) and databases; data analysis and optimization; anomaly and threat detection; streaming data; miscellaneous; explainability and scalability in AI.
Hands-On Web Scraping with Python - Second Edition
Work through practical examples to unlock the full potential of web scraping with Python and gain valuable insights from high-quality dataKey Features: Build an initial portfolio of web scraping projects with detailed explanationsGrasp Python programming fundamentals related to web scraping and data extractionAcquire skills to code web scrapers, store data in desired formats, and employ the data professionallyPurchase of the print or Kindle book includes a free PDF eBookBook Description: Web scraping is a powerful tool for extracting data from the web, but it can be daunting for those without a technical background. Designed for novices, this book will help you grasp the fundamentals of web scraping and Python programming, even if you have no prior experience.Adopting a practical, hands-on approach, this updated edition of Hands-On Web Scraping with Python uses real-world examples and exercises to explain key concepts. Starting with an introduction to web scraping fundamentals and Python programming, you'll cover a range of scraping techniques, including requests, lxml, pyquery, Scrapy, and Beautiful Soup. You'll also get to grips with advanced topics such as secure web handling, web APIs, Selenium for web scraping, PDF extraction, regex, data analysis, EDA reports, visualization, and machine learning.This book emphasizes the importance of learning by doing. Each chapter integrates examples that demonstrate practical techniques and related skills. By the end of this book, you'll be equipped with the skills to extract data from websites, a solid understanding of web scraping and Python programming, and the confidence to use these skills in your projects for analysis, visualization, and information discovery.What You Will Learn: Master web scraping techniques to extract data from real-world websitesImplement popular web scraping libraries such as requests, lxml, Scrapy, and pyqueryDevelop advanced skills in web scraping, APIs, PDF extraction, regex, and machine learningAnalyze and visualize data with Pandas and PlotlyDevelop a practical portfolio to demonstrate your web scraping skillsUnderstand best practices and ethical concerns in web scraping and data extractionWho this book is for: This book is for beginners who want to learn web scraping and data extraction using Python. No prior programming knowledge is required, but a basic understanding of web-related concepts such as websites, browsers, and HTML is assumed. If you enjoy learning by doing and want to build a portfolio of web scraping projects and delve into data-related studies and application, then this book is tailored for your needs.
Modern Data Architectures with Python
Build scalable and reliable data ecosystems using Data Mesh, Databricks Spark, and KafkaKey Features: Develop modern data skills used in emerging technologiesLearn pragmatic design methodologies such as Data Mesh and data lakehousesGain a deeper understanding of data governancePurchase of the print or Kindle book includes a free PDF eBookBook Description: Modern Data Architectures with Python will teach you how to seamlessly incorporate your machine learning and data science work streams into your open data platforms. You'll learn how to take your data and create open lakehouses that work with any technology using tried-and-true techniques, including the medallion architecture and Delta Lake.Starting with the fundamentals, this book will help you build pipelines on Databricks, an open data platform, using SQL and Python. You'll gain an understanding of notebooks and applications written in Python using standard software engineering tools such as git, pre-commit, Jenkins, and Github. Next, you'll delve into streaming and batch-based data processing using Apache Spark and Confluent Kafka. As you advance, you'll learn how to deploy your resources using infrastructure as code and how to automate your workflows and code development. Since any data platform's ability to handle and work with AI and ML is a vital component, you'll also explore the basics of ML and how to work with modern MLOps tooling. Finally, you'll get hands-on experience with Apache Spark, one of the key data technologies in today's market.By the end of this book, you'll have amassed a wealth of practical and theoretical knowledge to build, manage, orchestrate, and architect your data ecosystems.What You Will Learn: Understand data patterns including delta architectureDiscover how to increase performance with Spark internalsFind out how to design critical data diagramsExplore MLOps with tools such as AutoML and MLflowGet to grips with building data products in a data meshDiscover data governance and build confidence in your dataIntroduce data visualizations and dashboards into your data practiceWho this book is for: This book is for developers, analytics engineers, and managers looking to further develop a data ecosystem within their organization. While they're not prerequisites, basic knowledge of Python and prior experience with data will help you to read and follow along with the examples.
Mathematics for Computer Scientists
This textbook contains the mathematics needed to study computer science in application-oriented computer science courses. The content is based on the author's many years of teaching experience.The translation of the original German 7th edition Mathematik f羹r Informatiker by Peter Hartmann was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.Textbook FeaturesYou will always find applications to computer science in this book.Not only will you learn mathematical methods, you will gain insights into the ways of mathematical thinking to form a foundation for understanding computer science.Proofs are given when they help you learn something, not for the sake of proving.Mathematics is initially a necessary evil for many students. The author explains in each lesson how students can apply what they have learned by giving many real world examples, and by constantly cross-referencing math and computer science. Students will see how math is not only useful, but can be interesting and sometimes fun.The ContentSets, logic, number theory, algebraic structures, cryptography, vector spaces, matrices, linear equations and mappings, eigenvalues, graph theory.Sequences and series, continuous functions, differential and integral calculus, differential equations, numerics.Probability theory and statistics.The Target AudiencesStudents in all computer science-related coursework, and independent learners.
Data-centric Regenerative Built Environment
This book examines the use of big data in regenerative urban environment and how data helps in functional planning and design solutions. This book is one of the first endeavors to present the data-driven methods for regenerative built environments and integrate it with the novel design solutions. It looks at four specific areas in which data is used - urban land use, transportation and traffic, environmental concerns and social issues - and draws on the theoretical literature concerning regenerative built environments to explain how the power of big data can achieve the systematic integration of urban design solutions. It then applies an in-depth case study method on Asian metropolises including Beijing and Tehran to bring the developed innovation into a research-led practical context. This book is a useful reference for anyone interested in driving sustainable regeneration of our urban environments through big data-centric design solutions.
Making Embedded Systems
Interested in developing embedded systems? Since they don't tolerate inefficiency, these systems require a disciplined approach to programming. This easy-to-read guide helps you cultivate good development practices based on classic software design patterns and new patterns unique to embedded programming. You'll learn how to build system architecture for processors, not for operating systems, and you'll discover techniques for dealing with hardware difficulties, changing designs, and manufacturing requirements. Written by an expert who has created systems ranging from DNA scanners to children's toys, this book is ideal for intermediate and experienced programmers, no matter what platform you use. This expanded second edition includes new chapters on IoT and networked sensors, motors and movement, debugging, data handling strategies, and more. Optimize your system to reduce cost and increase performance Develop an architecture that makes your software robust in resource-constrained environments Explore sensors, displays, motors, and other I/O devices Reduce RAM and power consumption, code space, and processor cycles Learn how to interpret schematics, datasheets, and power requirements Discover how to implement complex mathematics and machine learning on small processors Design effective embedded systems for IoT and networked sensors
Serverless Machine Learning with Amazon Redshift ML
Supercharge and deploy Amazon Redshift Serverless, train and deploy machine learning models using Amazon Redshift ML, and run inference queries at scaleKey Features: Leverage supervised learning to build binary classification, multi-class classification, and regression modelsLearn to use unsupervised learning using the K-means clustering methodMaster the art of time series forecasting using Redshift MLPurchase of the print or Kindle book includes a free PDF eBookBook Description: Amazon Redshift Serverless enables organizations to run petabyte-scale cloud data warehouses quickly and in a cost-effective way, enabling data science professionals to efficiently deploy cloud data warehouses and leverage easy-to-use tools to train models and run predictions. This practical guide will help developers and data professionals working with Amazon Redshift data warehouses to put their SQL knowledge to work for training and deploying machine learning models.The book begins by helping you to explore the inner workings of Redshift Serverless as well as the foundations of data analytics and types of data machine learning. With the help of step-by-step explanations of essential concepts and practical examples, you'll then learn to build your own classification and regression models. As you advance, you'll find out how to deploy various types of machine learning projects using familiar SQL code, before delving into Redshift ML. In the concluding chapters, you'll discover best practices for implementing serverless architecture with Redshift.By the end of this book, you'll be able to configure and deploy Amazon Redshift Serverless, train and deploy machine learning models using Amazon Redshift ML, and run inference queries at scale.What You Will Learn: Utilize Redshift Serverless for data ingestion, data analysis, and machine learningCreate supervised and unsupervised models and learn how to supply your own custom parametersDiscover how to use time series forecasting in your data warehouseCreate a SageMaker endpoint and use that to build a Redshift ML model for remote inferenceFind out how to operationalize machine learning in your data warehouseUse model explainability and calculate probabilities with Amazon Redshift MLWho this book is for: Data scientists and machine learning developers working with Amazon Redshift who want to explore its machine-learning capabilities will find this definitive guide helpful. A basic understanding of machine learning techniques and working knowledge of Amazon Redshift is needed to make the most of this book.
Advanced Mathematical Applications in Data Science
Advanced Mathematical Applications in Data Science comprehensively explores the crucial role mathematics plays in the field of data science. Each chapter is contributed by scientists, researchers, and academicians. The 13 chapters cover a range of mathematical concepts utilized in data science, enabling readers to understand the intricate connection between mathematics and data analysis. The book covers diverse topics, including, machine learning models, the Kalman filter, data modeling, artificial neural networks, clustering techniques, and more, showcasing the application of advanced mathematical tools for effective data processing and analysis. With a strong emphasis on real-world applications, the book offers a deeper understanding of the foundational principles behind data analysis and its numerous interdisciplinary applications. This reference is an invaluable resource for graduate students, researchers, academicians, and learners pursuing a research career in mathematical computing or completing advanced data science courses. Key Features: -Comprehensive coverage of advanced mathematical concepts and techniques in data science.-Contributions from established scientists, researchers, and academicians.-Real-world case studies and practical applications of mathematical methods.-Focus on diverse areas, such as image classification, carbon emission assessment, customer churn prediction, and healthcare data analysis.-In-depth exploration of data science's connection with mathematics, computer science, and artificial intelligence.-Scholarly references for each chapter.-Suitable for readers with high school-level mathematical knowledge, making it accessible to a broad audience in academia and industry.
Mastering Tableau 2023 - Fourth Edition
Build, design, and improve advanced business intelligence solutions using Tableau's newest updates, including new Tableau Desktop, Tableau Prep, and Tableau Server featuresPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesMaster new Tableau 2023 features to solve real-world analytics challengesLearn how to use both pre-defined and your own Machine Learning models in TableauHow to manage Data Governance and secure high data qualityBook DescriptionThis edition of the bestselling Tableau guide will teach you how to leverage Tableau's newest features and offerings in various paradigms of the BI domain. Updated with fresh topics, including the newest features in Tableau Server, Prep, and Desktop, as well as up-to-date examples, this book will take you from mastering essential Tableau concepts to advance functionalities. A chapter on data governance has also been added.Throughout this book, you'll learn how to use Tableau Hyper files and Prep Builder to easily perform data preparation and handling, as well as complex joins, spatial joins, unions, and data blending tasks using practical examples. You'll also get to grips with executing data densification and explore other expert-level examples to help you with calculations, mapping, and visual design using Tableau extensions.Later chapters will teach you all about improving dashboard performance, connecting to Tableau Server, and understanding data visualization with examples. Finally, you'll cover advanced use cases, such as self-service analysis, time series analysis, geo-spatial analysis, and how to connect Tableau to Python and R to implement programming functionalities within Tableau.By the end of this book, you'll have mastered Tableau 2023 and be able to tackle common and advanced challenges in the BI domain.What you will learnLearn about various Tableau components, such as calculated fields, table calculations, and LOD expressionsMaster ETL (Extract, Transform, Load) techniques using Tableau Prep BuilderExplore and implement data storytelling with Python and RUnderstand Tableau Exchange by using accelerators, extensions, and connectorsInteract with Tableau Server to understand its functionalitiesStudy advanced visualizations and dashboard creation techniquesBrush up on powerful self-service analytics, time series analytics, and geo-spatial analyticsFind out why data governance matters and how to implement itWho this book is forThis book is designed for business analysts, business intelligence professionals, and data analysts who want to master Tableau to solve a range of data science and business intelligence problems. Prior exposure to Tableau will help you get to grips with the features more quickly, but it's not a prerequisite.Table of ContentsReviewing the BasicsGetting Your Data ReadyUsing Tableau Prep BuilderLearning about Joins, Blends, and Data StructuresIntroducing Table CalculationsUtilizing OData, Data Densification, Big Data, and Google BigQueryPracticing Level of Detail CalculationsGoing Beyond the BasicsWorking with MapsPresenting with TableauDesigning Dashboards and Best Practices for VisualizationsLeveraging Advanced AnalyticsImproving PerformanceExploring Tableau Server and Tableau CloudIntegrating Programming LanguagesDeveloping Data Governance Practices
Data Analytics in Marketing, Entrepreneurship, and Innovation
Focusing on important aspects of analytics that facilitate innovation, promote entrepreneurship, and improve marketing efficiency and effectiveness, this book provides researchers and business practitioners insight on the techniques, tools, models, and cases of data analytics in the broad areas of innovation, entrepreneurship, and marketing.
The Multidimensional Data Modeling Toolkit
Business intelligence is a huge segment of the software world. Gartner Group estimates that sales in this area surpassed $10 billion in 2010, with Oracle as the second largest vendor in the category. At the heart of these analytical-oriented applications are dimensional data models with OLAP as a critical component for achieving high-performance. If you want to do development work in this area or understand how to maximize its value, read this book. A professional in the world of analytics and business intelligence needs an understanding of OLAP's specific data modeling principles, its analysis capabilities, and its relationship to other analytical approaches. All are presented here in a systematic fashion written in an easy-to-follow style. The Multidimensional Data Modeling Toolkit takes you on an instructional journey into the world of OLAP. It provides a comprehensive examination of data modeling and analytical techniques for the native multi-dimensional information storage framework that Oracle OLAP provides. You will get an in-depth look at OLAP's analytical possibilities as well as comparison with the approaches used in data mining and statistics. You will learn the design issues and get step-by-step programming instructions for solving real-world problems. Written by an expert with over 15 years experience using Oracle OLAP and its predecessors, the book explains critical techniques rarely taught in university or technical training programs. The Multidimensional Data Modeling Toolkit takes you under the covers and shows you what happens inside of Oracle's Analytic Workspaces where the multidimensional magic occurs. Programming instruction is based on the Oracle 10g database, but most of the statements shown will work with other editions of the database, such as Oracle 9i and 11g, and even earlier editions of the technology found in stand-alone products such Oracle Financial Analyzer and Oracle Sales Analyzer The data analysis principles presented are universal and can be applied to application that uses OLAP, for example OBIEE, Essbase, Cognos, Business Objects, and Microsoft Analysis Services (SSAS). Whether you are new to business intelligence or a seasoned practitioner, you should find The Multi-dimensional Data Modeling Toolkit with plenty of valuable insights to offer.
Data Analytics Applied to the Mining Industry
The aim of the book is to provide practical help for executives, managers and research and development teams to identify where and how to apply advanced data analytics in mining engineering. Extensive case studies worked examples and details of how to develop and use an Analytics Maturity Matrix, and associated Analytics Roadmap has been provided.
New Media Pedagogy: Research Trends, Methodological Challenges and Successful Implementations
This volume constitutes selected papers presented during the First International Conference on New Media Pedagogy: Research Trends, Methodological Challenges and Successful Implementations, NMP 2022, held in Krak籀w, Poland, in October 2022. The 20 papers presented were thoroughly reviewed and selected from the 55 qualified submissions. They present recent research in the areas of teacher education in the information society, digitally-enhanced didactics, pedagogical innovations using ICT, e-learning, blended learning, crisis e-learning, digital inclusion and exclusion, identity of media pedagogy, and more.
Complex Computational Ecosystems
This book constitutes the proceedings of the First International Conference on Complex Computational Ecosystems, CCE 2023, held in Baku, Azerbaijan, during April 25-27, 2023. The 16 full papers and the 4 keynote abstracts included in this volume were carefully reviewed and selected from 46 submissions. They explore trans-disciplinary challenges that crossed theoretical questions with empirical observations of multi-level and multi-modal computational ecosystems.
Document Analysis and Recognition - Icdar 2023
This six-volume set of LNCS 14187, 14188, 14189, 14190, 14191 and 14192 constitutes the refereed proceedings of the 17th International Conference on Document Analysis and Recognition, ICDAR 2021, held in San Jos矇, CA, USA, in August 2023. The 53 full papers were carefully reviewed and selected from 316 submissions, and are presented with 101 poster presentations. The papers are organized into the following topical sections: Graphics Recognition, Frontiers in Handwriting Recognition, Document Analysis and Recognition.
Document Analysis and Recognition - Icdar 2023
This six-volume set of LNCS 14187, 14188, 14189, 14190, 14191 and 14192 constitutes the refereed proceedings of the 17th International Conference on Document Analysis and Recognition, ICDAR 2021, held in San Jos矇, CA, USA, in August 2023. The 53 full papers were carefully reviewed and selected from 316 submissions, and are presented with 101 poster presentations. The papers are organized into the following topical sections: Graphics Recognition, Frontiers in Handwriting Recognition, Document Analysis and Recognition.
Database and Expert Systems Applications
The two-volume set, LNCS 14146 and 14147 constitutes the thoroughly refereed proceedings of the 34th International Conference on Database and Expert Systems Applications, DEXA 2023, held in Penang, Malaysia, in August 2023.The 49 full papers presented together with 35 short papers were carefully reviewed and selected from a total of 155 submissions. The papers are organized in topical sections as follows: Part I: Data modeling; database design; query optimization; knowledge representation; Part II: Rule-based systems; natural language processing; deep learning; neural networks.
Confident Data Science
The global data market is estimated to be worth $64 billion dollars, making it a more valuable resource than oil. But data is useless without the analysis, interpretation and innovations of data scientists. With Confident Data Science, learn the essential skills and build your confidence in this sector through key insights and practical tools for success. In this book, you will discover all of the skills you need to understand this discipline, from primers on the key analytic and visualization tools to tips for pitching to and working with clients. Adam Ross Nelson draws upon his expertise as a data science consultant and, as someone who made moved into the industry late in his career, to provide an overview of data science, including its key concepts, its history and the knowledge required to become a successful data scientist. Whether you are considering a career in this industry or simply looking to expand your knowledge, Confident Data Science is the essential guide to the world of data science. About the Confident series...From coding and data science to cloud and cyber security, the Confident books are perfect for building your technical knowledge and enhancing your professional career.
Big Data Privacy and Security in Smart Cities
This book highlights recent advances in smart cities technologies, with a focus on new technologies such as biometrics, blockchains, data encryption, data mining, machine learning, deep learning, cloud security, and mobile security. During the past five years, digital cities have been emerging as a technology reality that will come to dominate the usual life of people, in either developed or developing countries. Particularly, with big data issues from smart cities, privacy and security have been a widely concerned matter due to its relevance and sensitivity extensively present in cybersecurity, healthcare, medical service, e-commercial, e-governance, mobile banking, e-finance, digital twins, and so on. These new topics rises up with the era of smart cities and mostly associate with public sectors, which are vital to the modern life of people. This volume summarizes the recent advances in addressing the challenges on big data privacy and security in smart cities and points out the future research direction around this new challenging topic.
Implementation and Application of Automata
This book constitutes the proceedings of the 27th International Conference on Implementation and Application of Automata, CIAA 2023, held in Famagusta, North Cyprus, during September 19-22, 2023. The 20 regular papers presented in this book together with invited talks were carefully reviewed and selected from 30 submissions. The topics of the papers cover various fields in the application, implementation, and theory of automata and related structures.
Database and Expert Systems Applications - Dexa 2023 Workshops
This volume constitutes the refereed proceedings of the workshops held at the 34th International Conference on Database and Expert Systems Applications, DEXA 2023, held in Penang, Malaysia, in August 2023: The 7th International Workshop on Cyber-Security and Functional Safety in Cyber-Physical Systems, IWCFS 2023, and The 3rd International Workshop on AI System Engineering: Math, Modelling and Software, AISys2023. The 7 full papers and 3 short papers were thoroughly reviewed and selected from 20 submissions, and discuss a range of topics including: knowledge discovery, biological data, cyber security, cyber-physical system, machine learning, knowledge graphs, information retriever, data base, and artificial intelligence.
Visualization
This methodology utilizes the principle of optimistic mindset and incorporates the utilization of all sensory faculties - visual perception, auditory perception, tactile perception, gustatory perception, and olfactory perception. It serves as a potent instrument which effectively conveys an individual's self-assurance and exerts a profound influence on their personal disposition as well as on the surrounding milieu.Achieving significant accomplishments is a challenging endeavor, and a considerable advantage can be gained by understanding the methods to align one's mind in support of one's goals. The brain operates as a proficient problem-solver, wherein providing explicit instructions regarding your intentions would effectively streamline the process of achieving your objectives. By doing so, the brain would aptly guide you towards undertaking the requisite actions essential for actualizing those goals.Selling an architectural design can prove challenging unless accompanied by at least a visual representation. Given the paramount importance of architectural visualization in bolstering the marketing efficacy of your project, individuals of distinguished caliber such as developers, architects, interior designers, or home builders would significantly enhance their expertise by acquainting themselves with this integral facet of the design process.
Non-Intrusive Methodologies for Large Area Urban Research
Non-Intrusive Methodologies for Large Area Urban Research brings together contributions from a conference held in 2021 in association with the ERC-funded 'Rome Transformed' research project. The papers address a major challenge in archaeology. Non-intrusive research in pursuit of a deeper understanding of urban areas can be both richly informative and cost-effective. Multiple successes in the field have led to an impressive array of innovative methodologies, methodologies that are frequently combined for still greater insight and impact. Geophysical surveys, the use of UAVs, the study of exposed historic structures and the exhaustive examination of archival records can all play a vital role, and the development of these data capture methodologies is of the utmost importance for the future of research. As well as advances in data capture methodologies, however, the papers also present case studies in the management of the big data generated and in the integration of different methodologies. A further strength of this collection lies in the range of site types considered. While many projects have historically pursued non-intrusive research in areas relatively clear of modern buildings, a growing number of research initiatives, such as 'Rome Transformed' are seeking to advance them in areas which remain densely occupied. Accordingly the material presented here will also be of interest to non-archaeologists working in such diverse fields as civil engineering, urban planning and physical geography.
Visualization
Individuals make attempts to cultivate positivity at various stages of their existence. Instances of crashes and software defects are reasonably tolerable, particularly in situations wherein one lacks a proactive support network. I find it incredibly challenging to overcome this.Creative visualization, functioning as a cognitive method, likewise amplifies an individual's inclination and dedication towards the attainment of their goals. Due to the fact that creative visualization instills a favorable and optimistic perception of accomplishment, individuals who engage in this technique often encounter a profound feeling of personal empowerment. It instills an individual with the necessary self-assurance to undertake the necessary measures for the attainment of his objectives.It is evident that a considerable number of accomplished individuals in contemporary times attain success as a direct result of their unwavering enthusiasm and conviction in their capabilities. Successful individuals predominantly possess an optimistic outlook and exhibit unwavering determination in their relentless pursuit of their objectives.
Chinese Computational Linguistics
This book constitutes the refereed proceedings of the 22nd China National Conference on Chinese Computational Linguistics, CCL 2023, Harbin, China, August 3-5, 2023. The 82 full papers included in this book were carefully reviewed and selected from 278 submissions. They were organized in topical sections as follows: ​Fundamental Theory and Methods of Computational Linguistics, Information Retrieval, Dialogue and Question Answering, Text Generation, Dialogue and Summarization, Knowledge Graph and Information Extraction, Machine Translation and Multilingual Information Processing, Language Resource and Evaluation, Pre-trained Language Models, Social Computing and Sentiment Analysis, NLP Applications.
Visualization
Have you ever desired the ability to metamorphose into an improved individual or an enhanced version of yourself? Have you ever pondered the existence of individuals in the world who appear to be invincible or beyond reach? Have you ever pondered the reasons behind why certain individuals attract specific qualities in life that appear unattainable for you to achieve?You have the ability to overcome these challenging circumstances and direct your attention towards the various facets of your desired self. Regardless of the number of mistakes we have made, each one of us has the ability to attain our goals. The crucial aspect lies in maintaining one's trajectory and acquiring knowledge about the most effective and ineffective approaches. The Guide for Novices provides comprehensive instructions!Creative visualization techniques harness the cognitive faculties of the human mind. An aspect of its functionality lies in empowering individuals to triumph over and eradicate their dread of failure. The apprehension associated with potential failure hinders individuals from exerting their utmost efforts and impedes their ability to demonstrate resolute determination in pursuit of their objectives. An individual's potential for success is often hindered by their fears, resulting in a lack of exceptional achievement and rather an average and risk-averse performance. Creative visualization eliminates the possibility of mediocrity, as it grants individuals the chance to envision their success by meticulously visualizing the intricacies of their plans and endeavors.
Usable Privacy and Security in Online Public Services
This practice-oriented book is a unique guide to the implementation of usable, privacy-compliant and secure online services in the area of e-government. Beginning with a clarification of basic concepts of usability, data privacy, and cybersecurity, the book provides lucid explanations of different methods (quantitative, qualitative, and mixed methods) that can be applied in the practice of designing, developing, and evaluating online public services in light of both usability criteria and data privacy and IT security compliance. A number of examples and exercises are included as well as awareness-raising measures that can serve as orientation both for practitioners and for teaching purposes. There is also a concise glossary of terms along with recommendations for further reading.This book provides comprehensive coverage of usability, data privacy and information security topics. At the time of going to press, it is also up to date with respect to the implementation of the EUSingle Digital Gateway regulation. It is therefore aimed at anyone interested in understanding the principles of usable privacy and information security and in ways of contributing to the design, development, and evaluation of online public services that satisfy the needs of the public. The book's audience thus includes not only students in the areas of e-government or public administration but also professionals developing online services or e-government applications.
Business Process Management: Blockchain, Robotic Process Automation and Educators Forum
This book constitutes the proceedings of the BPM Forum held at the 21st International Conference on Business Process Management, BPM 2023, which took place in Utrecht, The Netherlands, in September 2023. The Blockchain Forum provided a platform for exploring and discussing innovative ideas on the intersection of BPM and blockchain technology. The RPA Forum focused on the use of the Robotic Process Automation (RPA) in the field of Business Process Management. The Educators Forum brought together educators within the BPM community for sharing resources to improve the practice of teaching BPM-related topics. The 18 full papers included in this volume were carefully reviewed and selected from a total of 39 submissions.
Social, Cultural, and Behavioral Modeling
This book constitutes the proceedings of the 16th International Conference on Social, Cultural, and Behavioral Modeling, SBP-BRiMS 2023, which was held in Pittsburgh, PA, USA in September 2023.The 31 full papers presented in this volume were carefully reviewed and selected from 73 submissions. The papers were organized in topical sections as follows: Detecting malign influence; human behavior modeling; and social-cyber behavior modeling.
Perspectives in Business Informatics Research
This book constitutes the proceedings of the 22nd International Conference on Perspectives in Business Informatics Research, BIR 2023, which took place in Ascoli Piceno, Italy, in September 2023. The 20 full and 4 short papers included in these proceedings were carefully reviewed and selected from 57 submissions. They cover different aspects of the discipline and are organized in sections on applied business informatics, ICT governance and management, AI applications and use cases in business, business and IS development, and new trends in data governance.
Innovation Practices for Digital Transformation in the Global South
This book is a collection of chapters from the IFIP working groups 13.8 and 9.4. The 10 papers included present experiences and research on the topic of digital transformation and innovation practices in the global south. The topics span from digital transformation initiatives to novel innovative technological developments, practices and applications of marginalised people in the global south.
Enterprise Information Systems
This book constitutes the refereed post-conference proceedings of the 24th International Conference on Enterprise Information Systems, ICEIS 2022, This conference was held virtually due to the COVID-19 crisis, during April 25-27, 2022.The 20 full papers included in this book were carefully reviewed and selected from 197 submissions. They were organized in topical sections as follows: Databases and Information Systems Integration; Artificial Intelligence and Decision Support Systems; Information Systems Analysis and Specification; Human-Computer Interaction; and Enterprise Architecture.
Service Science
This book constitutes selected papers presented at the 16th International Conference on Service Science, ICSS 2023, held in Harbin, China, in May 2023. The 36 full papers and 2 short papers presented were thoroughly reviewed and selected from the 71 submissions. They are organized in the following topical sections: serverless edge computing; edge services reliability; intelligent services; service application; knowledge-inspired service; service ecosystem; graph-based service optimization; AI-inspired service optimization.
Chronicles: Formalization of a Temporal Model
This book is intended as an introduction to a versatile model for temporal data. It exhibits an original lattice structure on the space of chronicles and proposes new counting approach for multiple occurrences of chronicle occurrences. This book also proposes a new approach for frequent temporal pattern mining using pattern structures. This book was initiated by the work of Ch. Dousson in the 1990's. At that time, the prominent format was Temporal Constraint Networks for which the article by Richter, Meiri and Pearl is seminal. Chronicles do not conflict with temporal constraint networks, they are closely related. Not only do they share a similar graphical representation, they also have in common a notion of constraints in the timed succession of events. However, chronicles are definitely oriented towards fairly specific tasks in handling temporal data, by making explicit certain aspects of temporal data such as repetitions of an event. The notion of chronicle has been applied both for situation recognition and temporal sequence abstraction. The first challenge benefits from the simple but expressive formalism to specify temporal behavior to match in a temporal sequence. The second challenge aims to abstract a collection of sequences by chronicles with the objective to extract characteristic behaviors. This book targets researchers and students in computer science (from logic to data science). Engineers who would like to develop algorithms based on temporal models will also find this book useful.
Human Aspects of Information Security and Assurance
This book constitutes the proceedings of the 17th IFIP WG 11.12 International Symposium on Human Aspects of Information Security and Assurance, HAISA 2023, held in Kent, United Kingdom, in July 2023. The 37 full papers presented in this volume were carefully reviewed and selected from 54 submissions. They are organized in the following topical sections: education and training; management, policy and skills; evolving threats and attacks; social-technical factors; and research methods.
Data Mesh Design
Design and implement a data lakehouse using technology-driven simplifications and generalizations. The approach you will learn enables consolidating even incoherent data from multiple source systems across complex enterprise environments. The precise business question does not need to be known in advance and can even change over time. The approach lends itself well to federated, cooperating data mesh nodes. The individual components, called mini-marts, are like the "data part" of a data quantum and are interoperable. We describe data model blueprints to generalize dimensions with synonyms and facts at different granularities. Includes code examples using complex hierarchies as they exist in heterogenous real-world go-to-market organizations.
Reverse Mathematics
Reverse mathematics studies the complexity of proving mathematical theorems and solving mathematical problems. Typical questions include: Can we prove this result without first proving that one? Can a computer solve this problem? A highly active part of mathematical logic and computability theory, the subject offers beautiful results as well as significant foundational insights.This text provides a modern treatment of reverse mathematics that combines computability theoretic reductions and proofs in formal arithmetic to measure the complexity of theorems and problems from all areas of mathematics. It includes detailed introductions to techniques from computable mathematics, Weihrauch style analysis, and other parts of computability that have become integral to research in the field. Topics and features: Provides a complete introduction to reverse mathematics, including necessary background from computability theory, second order arithmetic, forcing, induction, and model constructionOffers a comprehensive treatment of the reverse mathematics of combinatorics, including Ramsey's theorem, Hindman's theorem, and many other resultsProvides central results and methods from the past two decades, appearing in book form for the first time and including preservation techniques and applications of probabilistic argumentsIncludes a large number of exercises of varying levels of difficulty, supplementing each chapterThe text will be accessible to students with a standard first year course in mathematical logic. It will also be a useful reference for researchers in reverse mathematics, computability theory, proof theory, and related areas.Damir D. Dzhafarov is an Associate Professor of Mathematics at the University of Connecticut, CT, USA. Carl Mummert is a Professor of Computer and Information Technology at Marshall University, WV, USA.
Advances in Databases and Information Systems
This book constitutes the proceedings of the 27th European Conference on Advances in Databases and Information Systems, ADBIS 2023, held in Barcelona, Spain, during September 4-7, 2023. The 11 full papers presented in this book together with 3 keynotes and tutorials were carefully reviewed and selected from 77 submissions. The papers are organized in the following topical sections: keynote talk and tutorials; query processing and data exploration, data science and fairness and Data and Metadata Quality
Manifesting
According to the principle of the law of attraction, any positive or negative occurrences that transpire in one's life are believed to have been drawn to them through their own volition. In order to procure abundance, it is imperative to possess the capability to draw the appropriate energy towards oneself and foster its presence in one's surroundings. It is imperative to possess the ability to draw positivity instead of negativity. Each and every individual among us possesses the inherent ability to draw towards oneself all the desired elements, provided that one cultivates the appropriate mindset and cultivates an optimal level of vigor.In the contents of this extraordinary manual on manifestation, you will uncover the deep-seated impact exerted by your thoughts and beliefs in shaping the fabric of your reality. Regardless of your ambitions, whether they involve discovering romantic affection, attaining professional triumph, embarking on a prosperous entrepreneurial endeavor, or enriching your overall state of health and happiness, rest assured that the 369 Method will provide you with the necessary guidance to manifest your profound aspirations.Love can solely be bestowed upon you, unreservedly. To cultivate such a profound and nurturing connection, one must acquire proficiency in the art of being receptive. What does this mean? It indicates that the initial phase in materializing love entails altering one's perspective on the essential components required to attract a well-suited partner.
Manifesting
Through the valuable insights and practical exercises imparted within the pages of this book, you will attain a profound comprehension of the process of manifestation and procure the necessary instruments to manifest your aspirations with utmost clarity, purpose, and resolute conviction. There are no limits to your dreams, and no aspirations are beyond your grasp when you tap into the remarkable potential that resides within you.Uncover potent techniques for manifestation that have proven efficacy, including bolstering confidence and engaging in positive affirmations, harnessing the transformative potential of gratitude, purposeful journaling, crafting a visual representation of aspirations through a vision board, and a myriad of other impactful approaches. Discover the concealed strategies to materializing abundance, prosperity, accomplishment, affection, joy, and even wellbeing and physical fitness!What benefits do you derive from the act of realizing your aspirations, drawing abundance into your life, and leading a life filled with meaning and satisfaction? Through the utilization of the Law of Attraction, the comprehensive methods and guidance elucidated in "Manifesting" bestow upon you the means to not only attain accomplishment but also to embrace adoration, opulence, and robust well-being, thus enabling the manifestation of your ideal existence!
New Trends in Database and Information Systems
This book constitutes the refereed proceedings of the Doctoral Consortium and Workshops on New Trends in Database and Information Systems, ADBIS 2023, held in Barcelona, Spain, during September 4-7, 2023.The 29 full papers, 25 short papers and 7 doctoral consortium included in this book were carefully reviewed and selected from 148. They were organized in topical sections as follows: ADBIS Short Papers: Index Management & Data Reconstruction, ADBIS Short Papers: Query Processing, ADBIS Short Papers: Advanced Querying Techniques, ADBIS Short Papers: Fairness in Data Management, ADBIS Short Papers: Data Science, ADBIS Short Papers: Temporal Graph Management, ADBIS Short Papers: Consistent Data Management, ADBIS Short Papers: Data Integration, ADBIS Short Papers: Data Quality, ADBIS Short Papers: Metadata Management, Contributions from ADBIS 2023 Workshops and Doctoral Consortium, AIDMA: 1st Workshop on Advanced AI Techniques for Data Management, Analytics, DOING: 4th Workshop on Intelligent Data - From Data to Knowledge, K-Gals: 2nd Workshop on Knowledge Graphs Analysis on a Large Scale, MADEISD: 5th Workshop on Modern Approaches in Data Engineering, Information System Design, PeRS: 2nd Workshop on Personalization, Recommender Systems, Doctoral Consortium.
Health Equity, Social Justice and Human Rights
The experience of manifestation can be encompassing and challenging at times. Sometimes it's downright uncomfortable. When one proclaims their desired outcome and firmly affirms its attainment, they generate a purposeful intention within the Universe, signaling their determination to foster its realization. Become a pinnacle of manifestation, aiding you in achieving your goals. The book dispels antiquated notions regarding the Law of Attraction and renders its practice accessible and comprehensible.If, due to any of these circumstances, your days persistently remain somber and devoid of joy, burdened by stress, anxiety, discord, and discontent, and you are uncertain of how to extricate yourself from this predicament, yet possess an unwavering determination to persevere and embark upon self-improvement, to attain your objectives, and to effectuate a positive transformation in your life, then you have arrived at the appropriate destination!How to effectively acquire proficiency in frequency attunement, strategically drawing similar individuals towards you, namely soul mates, intimate companions, or prospective professional collaborators. - Conquering self-doubt and enhancing self-worth through the augmentation of your inherent frequency levels, accompanied by an exploration of Unitarian universalism as the embodiment of love in a scientific context.
Computer, Communication, and Signal Processing
This book constitutes the refereed proceedings of the 6th International Conference on Computer, Communication, and Signal Processing, ICCSP 2022, held in Chennai, India, in February 2022.* The 21 full and 2 short papers presented in this volume were carefully reviewed and selected from 111 submissions. The papers are categorized into topical sub-headings: artificial intelligence and machine learning; Cyber security; and internet of things.*The conference was held as a virtual event due to the COVID-19 pandemic.
