Skip to main content
View Cart

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

  • The User's Directory of Computer Networks

    • 1st Edition
    • Tracy Laquey
    • English
    Your map through the network jungle.Here's how to track down virtually every network available to academics and researchers. This new book, with its detailed compilation of host- level information, provides everything you need to locate resources, send mail to colleagues and friendsworldwide, and answer questions about how to access major national and international networks. Extensively cross- referenced information on ARPANET/MILNET, BITNET, CSNET, Esnet, NSFNET, SPAN, THEnet, USENET, and loads of others is all provided. Includedare detailed lists of hosts, site contacts, administrative domains, and organizations. Plus, a tutorial chapter with handy reference tables reveals electronic mail 'secrets' that make it easier to take advantage of networking.

  • Machine Learning Proceedings 1991

    Proceedings of the Eighth International Workshop (ML91)
    • 1st Edition
    • Lawrence A. Birnbaum + 1 more
    • English
    Machine Learning: Proceedings of the Eighth International Workshop (ML91) covers the papers presented at ML91, the Eighth International Workshop on Machine Learning, held at Northwestern University, Evanston, Illinois, USA, in June 1991. The book focuses on constructive induction, learning from theory and data, automated knowledge acquisition, learning in intelligent information retrieval, machine learning in engineering automation, computational models of human learning, and learning reaction strategies. The selection first offers information on design rationale capture as knowledge acquisition, a domain-independent framework for effective experimentation in planning, and knowledge refinement using a high-level, non-technical vocabulary. The text then elaborates on improving the performance of inconsistent knowledge bases via combined optimization method, flexibility of speculative refinement, and a prototype based symbolic concept learning system. Topics include using task descriptions to generate error candidates, functional descriptions of knowledge-based systems, combined optimization method, and inconsistency and related work. The book ponders on learning words from context, modeling the acquisition and improvement of motor skills, a computational model of acquisition for children's addition strategies, and computer modeling of acquisition orders in child language. The manuscript also takes a look at knowledge acquisition combining analytical and empirical techniques; designing integrated learning systems for engineering design; and machine learning for nondestructive evaluation. The selection is highly recommended for researchers interested in machine learning.

  • Practical Knowledge Engineering

    • 1st Edition
    • Richard Kelly
    • English
    This book provides knowledge engineers with practical methods for initiating, designing, building, managing, and demonstrating successful commercial expert systems. It is a record of what actually works (and does not work) in the construction of expert systems, drawn from the author's decade of experience in building expert systems in all major areas of application for American, European, and Japanese organizations.The book features:* knowledge engineering programming techniques* useful skills for demonstrating expert systems * practical costing and metrics* guidelines for using knowledge representation techniques* solutions to common difficulties in design and implementation

  • Uncertainty in Artificial Intelligence 2

    • 1st Edition
    • Volume 5
    • L.N. Kanal + 1 more
    • English
    This second volume is arranged in four sections: Analysis contains papers which compare the attributes of various approaches to uncertainty. Tools provides sufficient information for the reader to implement uncertainty calculations. Papers in the Theory section explain various approaches to uncertainty. The Applications section describes the difficulties involved in, and the results produced by, incorporating uncertainty into actual systems.

  • Reliable Computer Systems

    Design and Evaluatuion
    • 2nd Edition
    • Daniel Siewiorek + 1 more
    • English
    Enhance your hardware/software reliabilityEnhanceme... of system reliability has been a major concern of computer users and designers ¦ and this major revision of the 1982 classic meets users' continuing need for practical information on this pressing topic. Included are case studies of reliablesystems from manufacturers such as Tandem, Stratus, IBM, and Digital, as well as coverage of special systems such as the Galileo Orbiter fault protection system and AT&T telephone switching processors.

  • Introduction to Knowledge Systems

    • 1st Edition
    • Mark Stefik
    • English
    Focusing on fundamental scientific and engineering issues, this book communicates the principles of building and using knowledge systems from the conceptual standpoint as well as the practical. Previous treatments of knowledge systems have focused on applications within a particular field, or on symbol-level representations, such as the use of frame and rule representations. Introduction to Knowledge Systems presents fundamentals of symbol-level representations including representations for time, space, uncertainty, and vagueness. It also compares the knowledge-level organizations for three common knowledge-intensive tasks: classification, configuration, and diagnosis. The art of building knowledge systems incorporates computer science theory, programming practice, and psychology. The scope of this book is appropriately broad, ranging from the design of hierarchical search algorithms to techniques for acquiring the task-specific knowledge needed for successful applications. Each chapter proceeds from concepts to applications, and closes with a brief tour of current research topics and open issues. Readers will come away with a solid foundation that will enable them to create real-world knowledge systems using whatever tools and programming languages are most current and appropriate.

  • Computer System Organization

    The B5700/B6700 Series
    • 1st Edition
    • Elliott I. Organick
    • Robert L. Ashenhurst
    • English
    Computer System Organization: The B5700/B6700 Series focuses on the organization of the B5700/B6700 Series developed by Burroughs Corp. More specifically, it examines how computer systems can (or should) be organized to support, and hence make more efficient, the running of computer programs that evolve with characteristically similar information structures. Comprised of nine chapters, this book begins with a background on the development of the B5700/B6700 operating systems, paying particular attention to their hardware/software architecture. The discussion then turns to the block-structured processes involved in the B6700 job, which consists of a time-invariant algorithm and a time-varying data structure which is the record of execution of that algorithm. Subsequent chapters deal with the basic data structures for B6700 algorithms; task attributes and the creation and coordination of tasks; stack structure and stack ownership; and software interrupts. Storage control strategies as well as the pros and cons of B6700 are also considered, along with some hardware details of procedure entry and return and tasking. This monograph is intended for computer center directors, other computer professionals, and serious students in computer science who have an interest in the subject of computer organization.

  • Channel Coding: Theory, Algorithms, and Applications

    Academic Press Library in Mobile and Wireless Communications
    • 1st Edition
    • David Declercq + 2 more
    • English
    This book gives a review of the principles, methods and techniques of important and emerging research topics and technologies in Channel Coding, including theory, algorithms, and applications. Edited by leading people in the field who, through their reputation, have been able to commission experts to write on a particular topic. With this reference source you will: Quickly grasp a new area of research Understand the underlying principles of a topic and its applications Ascertain how a topic relates to other areas and learn of the research issues yet to be resolved

  • Advances in Non-volatile Memory and Storage Technology

    • 1st Edition
    • Yoshio Nishi
    • English
    New solutions are needed for future scaling down of nonvolatile memory. Advances in Non-volatile Memory and Storage Technology provides an overview of developing technologies and explores their strengths and weaknesses. After an overview of the current market, part one introduces improvements in flash technologies, including developments in 3D NAND flash technologies and flash memory for ultra-high density storage devices. Part two looks at the advantages of designing phase change memory and resistive random access memory technologies. It looks in particular at the fabrication, properties, and performance of nanowire phase change memory technologies. Later chapters also consider modeling of both metal oxide and resistive random access memory switching mechanisms, as well as conductive bridge random access memory technologies. Finally, part three looks to the future of alternative technologies. The areas covered include molecular, polymer, and hybrid organic memory devices, and a variety of random access memory devices such as nano-electromechanic... ferroelectric, and spin-transfer-torque magnetoresistive devices. Advances in Non-volatile Memory and Storage Technology is a key resource for postgraduate students and academic researchers in physics, materials science, and electrical engineering. It is a valuable tool for research and development managers concerned with electronics, semiconductors, nanotechnology, solid-state memories, magnetic materials, organic materials, and portable electronic devices.

  • Cloud Networking

    Understanding Cloud-based Data Center Networks
    • 1st Edition
    • Gary Lee
    • English
    Cloud Networking: Understanding Cloud-Based Data Center Networks explains the evolution of established networking technologies into distributed, cloud-based networks. Starting with an overview of cloud technologies, the book explains how cloud data center networks leverage distributed systems for network virtualization, storage networking, and software-defined networking. The author offers insider perspective to key components that make a cloud network possible such as switch fabric technology and data center networking standards. The final chapters look ahead to developments in architectures, fabric technology, interconnections, and more. By the end of the book, readers will understand core networking technologies and how they’re used in a cloud data center.

Related subjects