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Books in Computer science

The Computing collection presents a range of foundational and applied content across computer and data science, including fields such as Artificial Intelligence; Computational Modelling; Computer Networks, Computer Organization & Architecture, Computer Vision & Pattern Recognition, Data Management; Embedded Systems & Computer Engineering; HCI/User Interface Design; Information Security; Machine Learning; Network Security; Software Engineering.

BooksJournals

    • Network Storage

      • 1st Edition
      • October 13, 2016
      • James O'Reilly
      • English
      • Paperback
        9 7 8 0 1 2 8 0 3 8 6 3 5
      • eBook
        9 7 8 0 1 2 8 0 3 8 6 5 9
      Network Storage: Tools and Technologies for Storing Your Company’s Data explains the changes occurring in storage, what they mean, and how to negotiate the minefields of conflicting technologies that litter the storage arena, all in an effort to help IT managers create a solid foundation for coming decades. The book begins with an overview of the current state of storage and its evolution from the network perspective, looking closely at the different protocols and connection schemes and how they differentiate in use case and operational behavior. The book explores the software changes that are motivating this evolution, ranging from data management, to in-stream processing and storage in virtual systems, and changes in the decades-old OS stack. It explores Software-Defined Storage as a way to construct storage networks, the impact of Big Data, high-performance computing, and the cloud on storage networking. As networks and data integrity are intertwined, the book looks at how data is split up and moved to the various appliances holding that dataset and its impact. Because data security is often neglected, users will find a comprehensive discussion on security issues that offers remedies that can be applied. The book concludes with a look at technologies on the horizon that will impact storage and its networks, such as NVDIMMs, The Hybrid Memory Cube, VSANs, and NAND Killers.

    • Internet of Things

      • 1st Edition
      • May 10, 2016
      • Rajkumar Buyya + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 0 5 3 9 5 9
      • eBook
        9 7 8 0 1 2 8 0 9 3 4 7 4
      Internet of Things: Principles and Paradigms captures the state-of-the-art research in Internet of Things, its applications, architectures, and technologies. The book identifies potential future directions and technologies that facilitate insight into numerous scientific, business, and consumer applications. The Internet of Things (IoT) paradigm promises to make any electronic devices part of the Internet environment. This new paradigm opens the doors to new innovations and interactions between people and things that will enhance the quality of life and utilization of scarce resources. To help realize the full potential of IoT, the book addresses its numerous challenges and develops the conceptual and technological solutions for tackling them. These challenges include the development of scalable architecture, moving from closed systems to open systems, designing interaction protocols, autonomic management, and the privacy and ethical issues around data sensing, storage, and processing.

    • Temporal Data Mining via Unsupervised Ensemble Learning

      • 1st Edition
      • November 15, 2016
      • Yun Yang
      • English
      • Paperback
        9 7 8 0 1 2 8 1 1 6 5 4 8
      • eBook
        9 7 8 0 1 2 8 1 1 8 4 1 2
      Temporal Data Mining via Unsupervised Ensemble Learning provides the principle knowledge of temporal data mining in association with unsupervised ensemble learning and the fundamental problems of temporal data clustering from different perspectives. By providing three proposed ensemble approaches of temporal data clustering, this book presents a practical focus of fundamental knowledge and techniques, along with a rich blend of theory and practice. Furthermore, the book includes illustrations of the proposed approaches based on data and simulation experiments to demonstrate all methodologies, and is a guide to the proper usage of these methods. As there is nothing universal that can solve all problems, it is important to understand the characteristics of both clustering algorithms and the target temporal data so the correct approach can be selected for a given clustering problem. Scientists, researchers, and data analysts working with machine learning and data mining will benefit from this innovative book, as will undergraduate and graduate students following courses in computer science, engineering, and statistics.

    • Individualized Drug Therapy for Patients

      • 1st Edition
      • November 8, 2016
      • Roger W Jelliffe + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 0 3 3 4 8 7
      • eBook
        9 7 8 0 1 2 8 0 3 3 4 9 4
      Individualized Drug Therapy for Patients: Basic Foundations, Relevant Software and Clinical Applications focuses on quantitative approaches that maximize the precision with which dosage regimens of potentially toxic drugs can hit a desired therapeutic goal. This book highlights the best methods that enable individualized drug therapy and provides specific examples on how to incorporate these approaches using software that has been developed for this purpose. The book discusses where individualized therapy is currently and offers insights to the future. Edited by Roger Jelliffe, MD and Michael Neely, MD, renowned authorities in individualized drug therapy, and with chapters written by international experts, this book provides clinical pharmacologists, pharmacists, and physicians with a valuable and practical resource that takes drug therapy away from a memorized ritual to a thoughtful quantitative process aimed at optimizing therapy for each individual patient.

    • Smart Cities and Homes

      • 1st Edition
      • May 12, 2016
      • Petros Nicopolitidis
      • English
      • Paperback
        9 7 8 0 1 2 8 0 3 4 5 4 5
      • eBook
        9 7 8 0 1 2 8 0 3 4 6 3 7
      Smart Cities and Homes: Key Enabling Technologies explores the fundamental principles and concepts of the key enabling technologies for smart cities and homes, disseminating the latest research and development efforts in the field through the use of numerous case studies and examples. Smart cities use digital technologies embedded across all their functions to enhance the wellbeing of citizens. Cities that utilize these technologies report enhancements in power efficiency, water use, traffic congestion, environmental protection, pollution reduction, senior citizens care, public safety and security, literacy rates, and more. This book brings together the most important breakthroughs and advances in a coherent fashion, highlighting the interconnections between the works in different areas of computing, exploring both new and emerging computer networking systems and other computing technologies, such as wireless sensor networks, vehicle ad hoc networks, smart girds, cloud computing, and data analytics and their roles in creating environmentally friendly, secure, and prosperous cities and homes. Intended for researchers and practitioners, the book discusses the pervasive and cooperative computing technologies that will perform a central role for handling the challenges of urbanization and demographic change.

    • Computing and Visualization for Intravascular Imaging and Computer-Assisted Stenting

      • 1st Edition
      • December 5, 2016
      • Simone Balocco + 4 more
      • English
      • Hardback
        9 7 8 0 1 2 8 1 1 0 1 8 8
      • eBook
        9 7 8 0 1 2 8 1 1 0 1 9 5
      Computing and Visualization for Intravascular Imaging and Computer-Assisted Stenting presents imaging, treatment, and computed assisted technological techniques for diagnostic and intraoperative vascular imaging and stenting. These techniques offer increasingly useful information on vascular anatomy and function, and are poised to have a dramatic impact on the diagnosis, analysis, modeling, and treatment of vascular diseases. After setting out the technical and clinical challenges of vascular imaging and stenting, the book gives a concise overview of the basics before presenting state-of-the-art methods for solving these challenges. Readers will learn about the main challenges in endovascular procedures, along with new applications of intravascular imaging and the latest advances in computer assisted stenting.

    • Computers as Components

      • 4th Edition
      • September 12, 2016
      • Marilyn Wolf
      • English
      • Paperback
        9 7 8 0 1 2 8 0 5 3 8 7 4
      • eBook
        9 7 8 0 1 2 8 1 0 3 9 3 7
      Computers as Components: Principles of Embedded Computing System Design, Fourth Edition, continues to focus on foundational content in embedded systems technology and design while introducing new content on security and safety, the design of Internet-of-Things devices and systems, and wireless communications standards like Bluetooth® and ZigBee®.

    • Data Mining

      • 4th Edition
      • October 1, 2016
      • Ian H. Witten + 3 more
      • English
      • Paperback
        9 7 8 0 1 2 8 0 4 2 9 1 5
      • eBook
        9 7 8 0 1 2 8 0 4 3 5 7 8
      Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches. Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research. Please visit the book companion website at https://www.cs.waika... It contains Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc.

    • Wireless Public Safety Networks 2

      • 1st Edition
      • June 7, 2016
      • Daniel Camara + 1 more
      • English
      • Hardback
        9 7 8 1 7 8 5 4 8 0 5 2 2
      • eBook
        9 7 8 0 0 8 1 0 1 0 6 9 3
      Wireless Public Safety Networks, Volume Two: A Systematic Approach presents the latest advances in the wireless Public Safety Networks (PSNs) field, the networks established by authorities to either prepare the population for an eminent catastrophe, or those used for support during crisis and normalization phases. Maintaining communication capabilities in a disaster scenario is crucial for avoiding loss of lives and damages to property. This book examines past communication failures that have directly contributed to the loss of lives, giving readers in-depth discussions of the public networks that impact emergency management, covering social media, crowdsourcing techniques, wearable wireless sensors, moving-cells scenarios, mobility management protocols, 5G networks, broadband networks, data dissemination, and the resources of the frequency spectrum.

    • Agent-based Spatial Simulation with NetLogo, Volume 2

      • 1st Edition
      • November 22, 2016
      • Arnaud Banos + 2 more
      • English
      • Hardback
        9 7 8 1 7 8 5 4 8 1 5 7 4
      • eBook
        9 7 8 0 0 8 1 0 1 0 6 4 8
      Whereas Volume 1 introduced the NetLogo platform as a means of prototyping simple models, this second volume focuses on the advanced use of NetLogo to connect both data and theories, making it ideal for the majority of scientific communities. The authors focus on agent-based modeling of spatialized phenomena with a methodological and practical orientation, demonstrating how advanced agent-based spatial simulation methods and technics can be implemented. This book provides theoretical and conceptual backgrounds, as well as algorithmic and technical insights, including code and applets, so that readers can test and re-use most of its content.

Related subjects

Applications

Artificial intelligence

Business intelligence

Computer systems organization

Computer vision and pattern recognition

Computing milieux

Data

Graphics cad hci

Hardware and architecture

Information systems

Internet and web technology

Software

Theory and mathematics