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Books in Information systems

This portfolio covers enterprise systems, cloud computing, and information management strategies. Featuring research, case studies, and practical frameworks, it supports IT professionals, managers, and researchers in optimizing organizational information flows. Addressing digital transformation, cybersecurity, and data governance, these resources foster effective, secure, and innovative information system solutions.

  • Digital Transformation and Equitable Global Health

    A Future-Ready Perspective
    • 1st Edition
    • Arletty Pinel + 2 more
    • English
    Digital Transformation and Equitable Global Health: A Future-Ready Perspective presents a collective body of knowledge and global experiences that demonstrate current status and future trends in the use of exponential technologies and their potential for poverty reduction, improving health outcomes, strengthening health systems, and transforming traditional development aid structures. The book uses a translational innovation perspective to guide the reader—regardless of their area of expertise—on the rationale behind the co-creation of human-centered, affordable, and sustainable digital solutions.It addresses the interest of professionals from multiple areas (e.g., technology, health, social development, global financing), and it is a valuable resource for professionals, social scientists, practitioners, researchers, instructors, and undergraduate and graduate students interested in understanding the challenges and complexities of global public health and the applied uses of health technologies for equitable access to primary health care and universal health coverage.

  • Knowledge Graphs and Large Language Models

    Current Approaches, Challenges, and Future Directions
    • 1st Edition
    • Sanju Tiwari + 3 more
    • English
    Knowledge Graphs and Large Language Models: Current Approaches, Challenges, and Future Directions explores the cutting-edge fusion of two powerful artificial intelligence technologies: Large Language Models (LLMs) and Knowledge Graphs (KGs). LLMs have revolutionized our daily lives with their ability to generate human-like text, perform text classification, translate languages, summarize content, and even code. Meanwhile, KGs have structured information for decades, enabling machine-processable data and inference between real-world entities. This book addresses the growing interest in combining LLMs and KGs to leverage their respective strengths, enhancing machines' ability to process, interpret, and generate information with context and accuracy.The book is structured to provide a comprehensive understanding of this emerging field. Chapter 1 introduces the synergy between LLMs and KGs, setting the stage for the subsequent chapters. Chapter 2 delves into the capabilities and challenges of LLMs, while Chapter 3 focuses on the structure, function, and significance of KGs. Chapter 4 presents a conceptual framework for bridging LLMs and KGs, followed by Chapter 5, which discusses techniques for their integration. Chapters 6 and 7 explore how LLMs can enhance KGs and vice versa. Chapter 8 showcases applications of LLM-KG synergy across various domains. Chapter 9 addresses ethical, social, and technical challenges, and Chapter 10 looks ahead to future innovations. The book concludes with Chapter 11, summarizing key insights and advancements in intelligent systems.Knowledge Graphs and Large Language Models: Current Approaches, Challenges, and Future Directions is an essential resource for graduate students, researchers, and professionals in computer science. It offers valuable insights for adopting LLMs, KGs, and their advanced applications in research and product development. By bridging the gap between these technologies, this book equips readers with the knowledge to drive innovation and enhance the capabilities of intelligent systems.

  • Foundations of Human-Computer Interaction

    Designing for Cognitive Alignment
    • 1st Edition
    • Robert Atkinson
    • English
    Foundations of Human-Computer Interaction: Designing for Cognitive Alignment covers the fundamentals of human-computer interaction (HCI), usability, and user-centred design. It provides a holistic and engaging exploration of HCI by integrating historical perspectives, behavioural and cognitive insights, neuroscientific principles, and advanced technological tools. This comprehensive approach ensures graduate students and undergraduate not only understand the theoretical frameworks but also see their practical applications in real-world scenarios. The pedagogy emphasizes interactive learning, critical thinking, and iterative design processes, making the content accessible and engaging for both novices and advanced learners. This book also discusses contemporary challenges such as dark patterns and surveillance capitalism, and offers an understanding of the ethics and code of conduct to enable the student and practitioner take their thinking and designs forward into the marketplace in a responsible way.

  • Mastering Cloud Computing

    Foundations and Applications Programming
    • 2nd Edition
    • Rajkumar Buyya + 4 more
    • English
    Mastering Cloud Computing: Foundations and Applications Programming, Second Edition serves as a comprehensive introduction for readers seeking to develop applications in the ever-evolving world of cloud computing. As technology advances, applications are no longer confined to a single machine but instead operate from virtual servers, accessible globally at any time. This book equips aspiring developers with the essential tools and knowledge to create effective cloud-based applications. Beyond the foundational principles, the book delves into distributed and parallel computing, providing in-depth coverage of virtualization, thread programming, task programming, and map-reduce techniques.It also addresses the development of applications for various cloud architectures, highlighting industrial platforms and critical security considerations. To reinforce learning, the text integrates real-world case studies, practical examples, hands-on exercises, and lab activities throughout, allowing readers to apply concepts directly and build their expertise effectively.

  • The Basics of Hacking and Penetration Testing

    • 3rd Edition
    • Thomas Wilhelm + 1 more
    • English
    The Basics of Hacking and Penetration Testing, Third Edition serves as an introduction to the steps required to complete a penetration test or perform an ethical hack from beginning to end. The book teaches readers how to properly utilize and interpret the results of the modern-day hacking tools required to complete a penetration test. It provides a simple and clear explanation of how to effectively utilize these tools, along with a four-step methodology for conducting a penetration test or hack, thus equipping readers with the know-how required to jump start their careers and gain a better understanding of offensive security.Each chapter contains hands-on examples and exercises that are designed to teach learners how to interpret results and utilize those results in later phases. This new edition includes six all-new chapters, and has been completely updated to the most current industry-standard tools, testing methodologies, and exploitable targets. New chapters on setting up a Pen Testing Lab and Hacking Careers have been added to expand and update the book. This is complemented by videos for in class use.

  • Consensus

    Fueling Blockchain Innovation and DApp Expansion
    • 1st Edition
    • Ali Ahmadian + 3 more
    • English
    Consensus: Fueling Blockchain Innovation and DApp Expansion explores the complexities of consensus mechanisms in order to shed light on emerging trends, best practices, and real-world applications that can fuel blockchain innovation while encouraging the dissemination of DApps across various industries. Additionally, the book bridges a crucial gap in the literature by providing in-depth insights into the role of consensus mechanisms in shaping the future of blockchain technology and decentralized applications. This book delves into the fundamentals of blockchain technology along with the roles and significance of vital consensus mechanisms, their underlying principles, formal specifications, functional characteristics, architecture, frameworks, and potential across diverse blockchain applications. Moreover, the book meticulously explores classification, performance metrics, and design parameters. It offers a comprehensive comparative analysis of these mechanisms, shedding light on their computational and communication complexity, strengths, weaknesses, and suitability. Additionally, the book delves into future research directions, highlighting emerging trends and areas requiring further investigation. It also addresses the efforts underway to address existing challenges and open issues within the realm of consensus mechanisms, ensuring a comprehensive understanding of the state-of-the-art in this pivotal aspect of blockchain technology. Due to the wide range of availability and evolving new consensus mechanisms, selecting an optimal and suitable consensus for a specific blockchain application is one of the crucial challenges in the development and innovation of blockchain systems. This book has also a discussion on appropriate selection algorithms based on multi-attribute decision-making for specific blockchain systems and DApps development.

  • Mathematical Modeling for Big Data Analytics

    • 1st Edition
    • Passent El-Kafrawy + 1 more
    • English
    Mathematical Modelling for Big Data Analytics is a comprehensive guidebook that explores the use of mathematical models and algorithms for analyzing large and complex datasets. The book covers a range of topics, including statistical modeling, machine learning, optimization techniques, and data visualization, and provides practical examples and case studies to demonstrate their applications in real-world scenarios. Users will find a clear and accessible resource to enhance their skills in mathematical modeling and data analysis for big data analytics. Real-world examples and case studies demonstrate how to approach and solve complex data analysis problems using mathematical modeling techniques.This book will help readers understand how to translate mathematical models and algorithms into practical solutions for real-world problems. Coverage of the theoretical foundations of big data analytics, including qualitative and quantitative analytics techniques, digital twins, machine learning, deep learning, optimization, and visualization techniques make this a must have resource.

  • Advanced Topics in Inverse Data Envelopment Analysis

    Approaches for Handling Ratio Data
    • 1st Edition
    • Mehdi Soltanifar + 3 more
    • English
    Advanced Topics in Inverse Data Envelopment Analysis: Approaches for Handling Ratio Data explores and tackles the most significant challenges encountered by researchers and practitioners in decision analysis and performance evaluation. This book delves into the sophisticated realm of Ratio Data Envelopment Analysis (DEA-R), offering a thorough examination of advanced methodologies, practical examples, and insights into managing complex problems involving both non-negative and negative data. Filling crucial gaps in existing literature, this comprehensive resource focuses on the emerging field of Inverse DEA-R, equipping readers with the necessary tools and knowledge to address a wide range of challenging data types. This book serves as an essential guide for making informed and efficient decisions, guiding researchers and graduate students in computer science, applied mathematics, industrial engineering, and finance, navigating the complexities of decision analysis in today's data-driven world.

  • The Essential Criteria of Graph Databases

    • 1st Edition
    • Ricky Sun
    • English
    The Essential Criteria of Graph Databases collects several truly innovative graph applications in asset-liability and liquidity risk management to spark readers’ interest and further broaden the reach and applicable domains of graph systems. Although AI has incredible potential, it has three weak links: 1. Blackbox, lack of explainability, 2. Silos, slews of siloed systems across the AI ecosystem, 3. Low-performance, as most of ML/DL based AI systems are SLOW. Hence, fixing these problems paves the road to strong and effective AI.

  • Machine Learning

    A Constraint-Based Approach
    • 2nd Edition
    • Marco Gori + 2 more
    • English
    Machine Learning: A Constraint-Based Approach, Second Edition provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that include neural networks and kernel machines. The book presents the information in a truly unified manner that is based on the notion of learning from environmental constraints. It draws a path towards deep integration with machine learning that relies on the idea of adopting multivalued logic formalisms, such as in fuzzy systems. Special attention is given to deep learning, which nicely fits the constrained-based approach followed in this book.The book presents a simpler unified notion of regularization, which is strictly connected with the parsimony principle, including many solved exercises that are classified according to the Donald Knuth ranking of difficulty, which essentially consists of a mix of warm-up exercises that lead to deeper research problems. A software simulator is also included.

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