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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

  • Computer Security in Financial Organizations

    • 1st Edition
    • J. Essinger
    • English
    This book provides a unique in–depth focus on how financial organizations and suppliers of computer security are currently addressing – in strategic terms – the problem of computer security.Written in an easy to read, non technical style the book is essential reading for all those involved in the management of this sensitive area, from computer security managers, financial directors and managers to analysts and designers in financial software houses.The report analyses the computer security requirements of a wide variety of organizations in the financial services sector, ranging from retail, commercial and investment banks to financial trading and investment management organizations.

  • Machine Learning Proceedings 1994

    Proceedings of the Eighth International Conference
    • 1st Edition
    • William W. Cohen
    • English
    Machine Learning: Proceedings of the Eleventh International Conference covers the papers presented at the Eleventh International Conference on Machine Learning (ML94), held at New Brunswick, New Jersey on July 10-13, 1994. The book focuses on the processes, methodologies, and approaches involved in machine learning, including inductive logic programming, neural networks, and decision trees. The selection first offers information on learning recursive relations with randomly selected small training sets; improving accuracy of incorrect domain theories; and using sampling and queries to extract rules from trained neural networks. The text then takes a look at boosting and other machine learning algorithms; an incremental learning approach for completable planning; and learning disjunctive concepts by means of genetic algorithms. The publication ponders on rule induction for semantic query optimization; irrelevant features and the subset selection problem; and an efficient subsumption algorithm for inductive logic programming. The book also examines Bayesian inductive logic programming; a statistical approach to decision tree modeling; and an improved algorithm for incremental induction of decision trees. The selection is a dependable source of data for researchers interested in machine learning.

  • Digital Guide To Developing International Software

    • 1st Edition
    • Grou
    • English
    Already in use by hundreds of independent vendors and developers, here at your fingertips are the groundbreaking packaging and design guidelines that Digital recommends and uses for products headed overseas.

  • Decision Support Systems: Experiences and Expectations

    Proceedings of the IFIP TC8/WG 8.3 Working Conference on Decision Support Systems: Experiences and Expectations, Fontainebleau, France, 30 June - 3 July 1992
    • 1st Edition
    • Volume 9
    • T. Jelassi + 2 more
    • English
    This proceedings volume aims to consolidate current knowledge of research into the many fields of DSS, and to identify key issues which should be incorporated into the future research agenda. The main themes of this volume include: DSS for distributed decision processes, Embedding knowledge in DSS, and DSS and organizational change.

  • The Small Business Computer Guide

    • 1st Edition
    • Joseph Beckman
    • English
    Anyone who needs information about computer systems for small or home businesses will find The Small Business Computer Guide to be an invaluable, thorough review of all aspects of computer systems and technology suited to small businesses.In clear, easy-to-understand language, The Small Business Computer Guide explains hardware components, software, and telecommunications, with an emphasis on productivity, efficiency, and how systems and components can be configured to best serve anindividual business' needs. Consideration is given to budgetary restraints, and Joseph S Beckman offers numerous tips and suggestions on how to put together the right system. Joseph S Beckman is a lawyer in private practice and has spent many yearsusing coputers in his legal work. He lives in Plantation, Florida.

  • Computers and Languages

    Theory and Practice
    • 1st Edition
    • Volume 4
    • A. Nijholt
    • English
    A global introduction to language technology and the areas of computer science where language technology plays a role. Surveyed in this volume are issues related to the parsing problem in the fields of natural languages, programming languages, and formal languages.Throughout the book attention is paid to the social forces which influenced the development of the various topics. Also illustrated are the development of the theory of language analysis, its role in compiler construction, and its role in computer applications with a natural language interface between men and machine. Parts of the material in this book have been used in courses on computational linguistics, computers and society, and formal approaches to languages.

  • Data Protection and Security for Personal Computers

    A manager's guide to improving the confidentiality, availability and integrity of data on Personal Computers and Local Area Networks
    • 1st Edition
    • R. Schifreen
    • English
    Learn how to improve the confidentiality, availability and integrity of information on your PC's and LAN's – easily and effectively.Written by the renowned international expert on PC security, Robert Schifreen, this unique management guide is written for every security conscious manager in an organization.Practic... comprehensive and easy to read, this guide will ensure that the reader is aware of everything concerned with maintaining the confidentiality, availability and integrity of data on personal computers and local area networks.UNIQUE FEATURES INCLUDE:– Totally PC and LAN specific– Practical tips and guidance– Comprehensive coverage of the topic– Unique action sheets for immediate implementation– Step–by– step coverage, easy to read, with limited technical jargonWHO SHOULD READ THIS GUIDE:– PC support managers, security managers, IT managers, sales and marketing managers, personnel officers, financial directors and all those responsible for corporate data.– Senior managers who wish to ensure that data on their employees PC's is safe at all times.– Managers with little computing or security experience who wish to implement a security policy throughout an organization.Please note this is a Short Discount publication.

  • Deductive and Object-Oriented Databases

    Proceedings of the First International Conference on Deductive and Object-Oriented Databases (DOOD89) Kyoto Research Park, Kyoto, Japan, 4-6 December 1989
    • 1st Edition
    • W. Kim + 2 more
    • English
    Deductive databases and object-oriented databases are at the forefront of research in next-generation intelligent database systems.Object-orien... programming and design methodologies have great potential, promising to reduce the complexity of very large software systems in such domains as computer-aided design and manufacturing, integrated office information systems, and artificial intelligence. Object-oriented database systems will enhance the programmer/user productivity of such systems. Research into deductive databases is aimed at discovering efficient schemes to uniformly represent assertions and deductive rules, and to respond to highly expressive queries against the knowledge base of assertions and rules. This area of research is strongly interacting with Logic Programming which has developed in parallel, sharing Logic as a common basis. Recently, research has aimed at integrating the object-oriented paradigm and rule-based deduction to provide a single powerful framework for intelligent database systems.The aim of this book is to present research papers and technical discussions between researchers concerned with deductive databases, object-oriented databases, and their integration.

  • Microcomputer Application in Process Control

    Selected Papers from the IFAC Symposium, Istanbul, Turkey, 22-25 July 1986
    • 1st Edition
    • E. Adali + 1 more
    • English
    This symposium brings together the research from different disciplines of process control, and discusses the problems encountered in the application of automation systems. The papers in this volume analyze the results of theoretical research and how far applications have been developed, new design methodologies and technologies, to give a comprehensive overview of the state of the art of this fast-developing science.

  • Uncertainty in Artificial Intelligence

    Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence, UCLA, at Los Angeles, July 13-15, 1991
    • 1st Edition
    • Bruce D'Ambrosio + 2 more
    • English
    Uncertainty in Artificial Intelligence: Proceedings of the Seventh Conference (1991) covers the papers presented at the Seventh Conference on Uncertainty in Artificial Intelligence, held on July 13-15, 1991 at the University of California at Los Angeles (UCLA). The book focuses on the processes, technologies, developments, and approaches involved in artificial intelligence. The selection first offers information on combining multiple-valued logics in modular expert systems; constraint propagation with imprecise conditional probabilities; and Bayesian networks applied to therapy monitoring. The text then examines some properties of plausible reasoning; theory refinement on Bayesian networks; combination of upper and lower probabilities; and a probabilistic analysis of marker-passing techniques for plan-recognition. The publication ponders on symbolic probabilistic inference (SPI) with continuous variables, SPI with evidence potential, and local expression languages for probabilistic dependence. Topics include local expression languages for probabilistic knowledge, evidence potential algorithm, symbolic inference with evidence potential, and SPI with continuous variables algorithm. The manuscript also takes a look at the compatibility of quantitative and qualitative representations of belief and a method for integrating utility analysis into an expert system for design evaluation under uncertainty. The selection is a valuable source of data for researchers interested in artificial intelligence.

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