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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

    • Computational Network Science

      • 1st Edition
      • September 23, 2014
      • Henry Hexmoor
      • English
      • Paperback
        9 7 8 0 1 2 8 0 0 8 9 1 1
      • eBook
        9 7 8 0 1 2 8 0 1 1 5 6 0
      The emerging field of network science represents a new style of research that can unify such traditionally-divers... fields as sociology, economics, physics, biology, and computer science. It is a powerful tool in analyzing both natural and man-made systems, using the relationships between players within these networks and between the networks themselves to gain insight into the nature of each field. Until now, studies in network science have been focused on particular relationships that require varied and sometimes-incompatib... datasets, which has kept it from being a truly universal discipline. Computational Network Science seeks to unify the methods used to analyze these diverse fields. This book provides an introduction to the field of Network Science and provides the groundwork for a computational, algorithm-based approach to network and system analysis in a new and important way. This new approach would remove the need for tedious human-based analysis of different datasets and help researchers spend more time on the qualitative aspects of network science research.

    • Advances in Software Science and Technology

      • 1st Edition
      • Volume 5
      • December 3, 2014
      • Tsutomu Kamimura
      • English
      • Paperback
        9 7 8 1 4 9 3 3 0 5 8 8 9
      • eBook
        9 7 8 1 4 8 3 2 9 4 3 2 2
      This serial is a translation of the original works within the Japan Society of Software Science and Technology. A key source of information for computer scientists in the U.S., the serial explores the major areas of research in software and technology in Japan. These volumes are intended to promote worldwide exchange of ideas among professionals.This volume includes original research contributions in such areas as Augmented Language Logic (ALL), distributed C language, Smalltalk 80, and TAMPOPO-an evolutionary learning machine based on the principles of Realtime Minimum Skyline Detection.

    • Machine Takeover

      • 1st Edition
      • May 18, 2014
      • Frank George
      • English
      • Paperback
        9 7 8 1 4 8 3 1 7 2 2 2 4
      • eBook
        9 7 8 1 4 8 3 1 8 8 0 3 4
      Machine Takeover: The Growing Threat to Human Freedom in a Computer-Controlled Society discusses the implications of technological advancement. The title identifies the changes in society that no one is aware of, along with what this changes entails. The text first covers the information science, particularly the aspect of an automated system for information processing. Next, the selection deals with social implications of information science, such as information pollution. The text also tackles the concerns in the utilization of technology in order to manipulate the lives of people without their knowledge. In Part III, the title covers the science of cybernetics and artificial intelligence. The last part tackles the consequences of modern science. The book will be of great interest to readers who are concerned with the direction of contemporary science.

    • Uncertainty in Artificial Intelligence 4

      • 1st Edition
      • Volume 9
      • June 28, 2014
      • T.S. Levitt + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 4 8 8 7 3 7 5
      • eBook
        9 7 8 1 4 8 3 2 9 6 5 4 8
      Clearly illustrated in this volume is the current relationship between Uncertainty and AI.It has been said that research in AI revolves around five basic questions asked relative to some particular domain: What knowledge is required? How can this knowledge be acquired? How can it be represented in a system? How should this knowledge be manipulated in order to provide intelligent behavior? How can the behavior be explained? In this volume, all of these questions are addressed. From the perspective of the relationship of uncertainty to the basic questions of AI, the book divides naturally into four sections which highlight both the strengths and weaknesses of the current state of the relationship between Uncertainty and AI.

    • Dynamic Modelling of Information Systems

      • 1st Edition
      • June 28, 2014
      • K.M. van Hee + 1 more
      • English
      • Paperback
        9 7 8 1 4 9 3 3 0 5 4 3 8
      • eBook
        9 7 8 1 4 8 3 2 9 4 8 4 1
      The use of dynamic models in the development of information systems is regarded by many researchers as a promising issue in design support. Modelling the dynamics of information systems is likely to improve the quality and the performance of the design products. Dynamic modelling as a new approach for dynamic analysis of problems within an existing situation, and design and evaluation of different solution strategies may overcome many difficulties in the design process.

    • Practical Guide to Clinical Computing Systems

      • 2nd Edition
      • November 7, 2014
      • Thomas Payne
      • English
      • Paperback
        9 7 8 0 1 2 8 1 0 3 2 0 3
      • Hardback
        9 7 8 0 1 2 4 2 0 2 1 7 7
      • eBook
        9 7 8 0 1 2 7 9 9 9 1 9 7
      Although informatics trainees and practitioners who assume operational computing roles in their organization may have reasonably advanced understanding of theoretical informatics, many are unfamiliar with the practical topics - such as downtime procedures, interface engines, user support, JCAHO compliance, and budgets - which will become the mainstay of their working lives. Practical Guide to Clinical Computing Systems 2nd edition helps prepare these individuals for the electronic age of health care delivery. It is also designed for those who migrate into clinical computing operations roles from within their health care organization. A new group of people interested in this book are those preparing for Clinical Informatics board certification in the US. The work provides particular differentiation from the popular first edition in four areas: 40% more content detailing the many practical aspects of clinical informatics. Addresses the specific needs of the Clinical Informatics board certification course – for which it is presently recommended by the ABPM Focus on new tech paradigms including cloud computing and concurrency – for this rapidly changing field.

    • Psychology of System Design

      • 1st Edition
      • Volume 17
      • June 28, 2014
      • D. Meister
      • English
      • Paperback
        9 7 8 1 4 9 3 3 0 8 0 1 9
      • eBook
        9 7 8 1 4 8 3 2 9 5 9 2 3
      This is a book about systems, including: systems in which humans control machines; systems in which humans interact with humans and the machine component is relatively unimportant; systems which are heavily computerized and those that are not; and governmental, industrial, military and social systems.The book deals with both traditional systems like farming, fishing and the military, and with systems just now tentatively emerging, like the expert and the interactive computer system. The emphasis is on the system concept and its implications for analysis, design and evaluation of these many different types of systems. The book attempts to make three major points: 1. System design, and particularly computer system design, must fit into and be directed by a comprehensive theory of system functioning. 2. Interactive computer design models itself upon our knowledge of how humans function. 3. Highly sophisticated interactive computer systems are presently mostly research vehicles, they are vastly different to general purpose, commercially available word processors and personal computers.The book represents an interdisciplinary approach, the author has used psychological, organizational, human factors, and engineering sources. The book is not a "how to do it" book but it is intended to stimulate thinking about the larger context in which systems, particularly computer systems of the future, should be designed and used.

    • Business Intelligence Guidebook

      • 1st Edition
      • November 4, 2014
      • Rick Sherman
      • English
      • Paperback
        9 7 8 0 1 2 4 1 1 4 6 1 6
      • eBook
        9 7 8 0 1 2 4 1 1 5 2 8 6
      Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors’ tools lies the essential, yet poorly-understood layer of architecture, design and process. Without this knowledge, Big Data is belittled – projects flounder, are late and go over budget. Business Intelligence Guidebook: From Data Integration to Analytics shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes. Practicing consultant and adjunct BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers. After reading this book, you will be able to design the overall architecture for functioning business intelligence systems with the supporting data warehousing and data-integration applications. You will have the information you need to get a project launched, developed, managed and delivered on time and on budget – turning the deluge of data into actionable information that fuels business knowledge. Finally, you’ll give your career a boost by demonstrating an essential knowledge that puts corporate BI projects on a fast-track to success.

    • Machine Learning Proceedings 1994

      • 1st Edition
      • June 28, 2014
      • William W. Cohen
      • English
      • Paperback
        9 7 8 1 5 5 8 6 0 3 3 5 6
      • eBook
        9 7 8 1 4 8 3 2 9 8 1 8 4
      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.

    • Business Process Change

      • 3rd Edition
      • April 26, 2014
      • Paul Harmon
      • English
      • eBook
        9 7 8 0 1 2 8 0 0 5 2 2 4
      Business Process Change, 3rd Edition provides a balanced view of the field of business process change. Bestselling author Paul Harmon offers concepts, methods, cases for all aspects and phases of successful business process improvement. Updated and added for this edition is new material on the development of business models and business process architecture development, on integrating decision management models and business rules, on service processes and on dynamic case management, and on integrating various approaches in a broad business process management approach. New to this edition: How to develop business models and business process architecture How to integrate decision management models and business rules New material on service processes and on dynamic case management Learn to integrate various approaches in a broad business process management approach

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