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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.

    • Computers and Informatics in Developing Countries

      • 1st Edition
      • May 20, 2014
      • D.B. Arnold + 1 more
      • English
      • Paperback
        9 7 8 1 4 8 3 1 0 9 4 0 4
      • eBook
        9 7 8 1 4 8 3 1 0 3 0 6 8
      ISO Standards for Computer Graphics: The First Generation discusses the expected standards in the quality of computer graphics; the aspects and examples of said standards; and the materials from the standards being described. The book is divided into six parts. Part 1 covers topics such as the applicability of first-generation ISO standards; software architecture; application program interface, device interface, metafile, archive, and language binding standards; and the ISO and its related bodies. Part 2 deals with topics such as output primitives and attributes, coordinate systems, and storage mechanisms. The third part talks about language bindings, encodings, and formal specifications. The fourth part tackles validation and testing; conformance testing of graphic standards; and the registration of graphical items. The book also discusses the status and future direction of ISO standards for computer graphics; it also presents in the last part the bibliography of the included topics, glossary on related bodies, and the formal specification of a part of GKS. The text is recommended for computer engineers, IT experts, and graphic designers who would like to know the ISO standards for computer graphics and its implications in their practice.
    • Supercomputers

      • 1st Edition
      • June 28, 2014
      • Architecture Technology Architecture Technology Corpor
      • English
      • Paperback
        9 7 8 1 8 5 6 1 7 1 2 4 3
      • eBook
        9 7 8 1 4 8 3 2 9 6 1 9 7
      Please note this is a Short Discount publication.Thorough... revised and updated, this year's report contains invaluable information investigating the impact of supercomputing technology on data processing in the near term and its influence for the next five years.The information and data in this report are critical in supplying: information on the size of each of the technical computing segments, what percentage of each is comprised of vector and parallel systems now, and what that percentage will be by 1995.For each technical computing segments, the report gives dollar volumes, units shipped, user industries, applications, operating system requirements, vector shares of market and installations. Find out which computing segments and vectors show the greatest promise for growth and profitability.The technical aspects influencing the development of supercomputing architectures and the features driving their user acceptance are analyzed. The report also provides immediate market opportunities by discussing types of applications that will benefit most from supercomputing technology.
    • Service Orchestration as Organization

      • 1st Edition
      • August 12, 2014
      • Malinda Kapuruge + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 0 0 9 3 8 3
      • eBook
        9 7 8 0 1 2 8 0 1 0 9 7 6
      Service orchestration techniques combine the benefits of Service Oriented Architecture (SOA) and Business Process Management (BPM) to compose and coordinate distributed software services. On the other hand, Software-as-a-Servic... (SaaS) is gaining popularity as a software delivery model through cloud platforms due to the many benefits to software vendors, as well as their customers. Multi-tenancy, which refers to the sharing of a single application instance across multiple customers or user groups (called tenants), is an essential characteristic of the SaaS model. Written in an easy to follow style with discussions supported by real-world examples, Service Orchestration as Organization introduces a novel approach with associated language, framework, and tool support to show how service orchestration techniques can be used to engineer and deploy SaaS applications.
    • Architecting High Performing, Scalable and Available Enterprise Web Applications

      • 1st Edition
      • October 29, 2014
      • Shailesh Kumar Shivakumar
      • English
      • Paperback
        9 7 8 0 1 2 8 0 2 2 5 8 0
      • eBook
        9 7 8 0 1 2 8 0 2 5 2 8 4
      Architecting High Performing, Scalable and Available Enterprise Web Applications provides in-depth insights into techniques for achieving desired scalability, availability and performance quality goals for enterprise web applications. The book provides an integrated 360-degree view of achieving and maintaining these attributes through practical, proven patterns, novel models, best practices, performance strategies, and continuous improvement methodologies and case studies. The author shares his years of experience in application security, enterprise application testing, caching techniques, production operations and maintenance, and efficient project management techniques.
    • COLT '89

      • 1st Edition
      • June 28, 2014
      • COLT
      • English
      • Paperback
        9 7 8 1 5 5 8 6 0 0 8 6 7
      • eBook
        9 7 8 0 0 8 0 9 4 8 2 9 4
      Computational Learning Theory presents the theoretical issues in machine learning and computational models of learning. This book covers a wide range of problems in concept learning, inductive inference, and pattern recognition. Organized into three parts encompassing 32 chapters, this book begins with an overview of the inductive principle based on weak convergence of probability measures. This text then examines the framework for constructing learning algorithms. Other chapters consider the formal theory of learning, which is learning in the sense of improving computational efficiency as opposed to concept learning. This book discusses as well the informed parsimonious (IP) inference that generalizes the compatibility and weighted parsimony techniques, which are most commonly applied in biology. The final chapter deals with the construction of prediction algorithms in a situation in which a learner faces a sequence of trials, with a prediction to be given in each and the goal of the learner is to make some mistakes. This book is a valuable resource for students and teachers.
    • Windows Forensic Analysis Toolkit

      • 4th Edition
      • March 11, 2014
      • Harlan Carvey
      • English
      • Paperback
        9 7 8 0 1 2 4 1 7 1 5 7 2
      • eBook
        9 7 8 0 1 2 4 1 7 1 7 4 9
      Harlan Carvey has updated Windows Forensic Analysis Toolkit, now in its fourth edition, to cover Windows 8 systems. The primary focus of this edition is on analyzing Windows 8 systems and processes using free and open-source tools. The book covers live response, file analysis, malware detection, timeline, and much more. Harlan Carvey presents real-life experiences from the trenches, making the material realistic and showing the why behind the how. The companion and toolkit materials are hosted online. This material consists of electronic printable checklists, cheat sheets, free custom tools, and walk-through demos. This edition complements Windows Forensic Analysis Toolkit, Second Edition, which focuses primarily on XP, and Windows Forensic Analysis Toolkit, Third Edition, which focuses primarily on Windows 7. This new fourth edition provides expanded coverage of many topics beyond Windows 8 as well, including new cradle-to-grave case examples, USB device analysis, hacking and intrusion cases, and "how would I do this" from Harlan's personal case files and questions he has received from readers. The fourth edition also includes an all-new chapter on reporting.
    • Readings in Artificial Intelligence and Databases

      • 1st Edition
      • June 28, 2014
      • John Mylopoulos + 1 more
      • English
      • eBook
        9 7 8 0 0 8 0 8 8 6 6 2 6
      The interaction of database and AI technologies is crucial to such applications as data mining, active databases, and knowledge-based expert systems. This volume collects the primary readings on the interactions, actual and potential, between these two fields. The editors have chosen articles to balance significant early research and the best and most comprehensive articles from the 1980s. An in-depth introduction discusses basic research motivations, giving a survey of the history, concepts, and terminology of the interaction. Major themes, approaches and results, open issues and future directions are all discussed, including the results of a major survey conducted by the editors of current work in industry and research labs. Thirteen sections follow, each with a short introduction.Topics examined include semantic data models with emphasis on conceptual modeling techniques for databases and information systems and the integration of data model concepts in high-level data languages, definition and maintenance of integrity constraints in databases and knowledge bases, natural language front ends, object-oriented database management systems, implementation issues such as concurrency control and error recovery, and representation of time and knowledge incompleteness from the viewpoints of databases, logic programming, and AI.
    • RDF Database Systems

      • 1st Edition
      • November 24, 2014
      • Olivier Curé + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 7 9 9 9 5 7 9
      • eBook
        9 7 8 0 1 2 8 0 0 4 7 0 8
      RDF Database Systems is a cutting-edge guide that distills everything you need to know to effectively use or design an RDF database. This book starts with the basics of linked open data and covers the most recent research, practice, and technologies to help you leverage semantic technology. With an approach that combines technical detail with theoretical background, this book shows how to design and develop semantic web applications, data models, indexing and query processing solutions.
    • Introduction to Audio Analysis

      • 1st Edition
      • February 15, 2014
      • Theodoros Giannakopoulos + 1 more
      • English
      • Hardback
        9 7 8 0 0 8 0 9 9 3 8 8 1
      • eBook
        9 7 8 0 0 8 0 9 9 3 8 9 8
      Introduction to Audio Analysis serves as a standalone introduction to audio analysis, providing theoretical background to many state-of-the-art techniques. It covers the essential theory necessary to develop audio engineering applications, but also uses programming techniques, notably MATLAB®, to take a more applied approach to the topic. Basic theory and reproducible experiments are combined to demonstrate theoretical concepts from a practical point of view and provide a solid foundation in the field of audio analysis. Audio feature extraction, audio classification, audio segmentation, and music information retrieval are all addressed in detail, along with material on basic audio processing and frequency domain representations and filtering. Throughout the text, reproducible MATLAB® examples are accompanied by theoretical descriptions, illustrating how concepts and equations can be applied to the development of audio analysis systems and components. A blend of reproducible MATLAB® code and essential theory provides enable the reader to delve into the world of audio signals and develop real-world audio applications in various domains.
    • Artificial Intelligence Planning Systems

      • 1st Edition
      • June 28, 2014
      • James Hendler
      • English
      • Paperback
        9 7 8 1 5 5 8 6 0 2 5 0 2
      • eBook
        9 7 8 0 0 8 0 4 9 9 4 4 4
      Artificial Intelligence Planning Systems documents the proceedings of the First International Conference on AI Planning Systems held in College Park, Maryland on June 15-17, 1992. This book discusses the abstract probabilistic modeling of action; building symbolic primitives with continuous control routines; and systematic adaptation for case-based planning. The analysis of ABSTRIPS; conditional nonlinear planning; and building plans to monitor and exploit open-loop and closed-loop dynamics are also elaborated. This text likewise covers the modular utility representation for decision-theoretic planning; reaction and reflection in tetris; and planning in intelligent sensor fusion. Other topics include the resource-bounded adaptive agent, critical look at Knoblock's hierarchy mechanism, and traffic laws for mobile robots. This publication is beneficial to students and researchers conducting work on AI planning systems.