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100528s2009 paua fsb 001 0 eng d |
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|z 2008023190
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|a 9781605661452 (ebook)
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|z 9781605661445 (hardcover)
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|z 1605661449 (hardcover)
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|z 9781616925659 (pbk.)
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|a 10.4018/978-1-60566-144-5
|2 doi
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|a (CaBNVSL)gtp00541123
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|a (OCoLC)430984184
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|a CaBNVSL
|c CaBNVSL
|d CaBNVSL
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|a Q337
|b .D577 2009e
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|a 006.3
|2 22
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|a Distributed artificial intelligence, agent technology, and collaborative applications
|c Vijayan Sugumaran [editor].
|h [electronic resource] /
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|a Hershey, Pa. :
|b IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA),
|c c2009.
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|a electronic texts (xxii, 426 p. : ill.) :
|b digital files.
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|a Includes bibliographical references (p. 384-415) and index.
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|a Designing multi-agent systems from logic specifications: a case study -- Multi-agent architecture for knowledge-driven decision support -- A decision support system for trust formalization -- Using misunderstanding and discussion in dialog as a knowledge acquisition or enhancement process -- Improving e-trade auction volume by consortium -- Extending loosely coupled federated information systems using agent technology -- Modeling fault tolerant and secure mobile agent execution in distributed systems -- Search engine performance comparisons -- A user-centered approach for information retrieval -- Classification and retrieval of images from databases using rough set theory -- Supporting text retrieval by typographical term weighting -- Web mining by automatically organizing web pages into categories -- Mining matrix pattern from mobile users -- Conceptual modeling of events for active information systems -- Information modeling and the problem of universals -- Empirical inference of numerical information into causal strategy models by means of artificial intelligence -- Improving mobile web navigation using n-grams prediction models -- Forecasting supply chain demand using machine learning algorithms -- Supporting demand supply network optimization with Petri nets.
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|a Restricted to subscribers or individual electronic text purchasers.
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|a Cutting-edge developments in artificial intelligence are now driving applications that are only hinting at the level of value they will soon contribute to organizations, consumers, and societies across all domains. This publication offers an enriched set of research articles in artificial intelligence (AI), covering significant AI subjects such as information retrieval, conceptual modeling, supply chain demand forecasting, and machine learning algorithms.
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|a Also available in print.
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|a Mode of access: World Wide Web.
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|a Title from PDF t.p. (viewed on May 26, 2010).
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|a Artificial intelligence
|x Industrial applications.
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|a Distributed artificial intelligence.
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|a Active information systems
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|a Artificial intelligence
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|a Automatic Web page organization
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|a Causal strategy models
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|a Conceptual modeling
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|a Demand supply network optimization
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|a Empirical inference of numerical information
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|a E-trade auction
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|a Forecasting supply chain demand
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|a Information modeling
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|a Information retrieval
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|a Knowledge acquisition process
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|a Knowledge-driven decision support
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|a Logic specifications
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|a Machine learning algorithms
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|a Multi-agent architecture
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|a Multi-agent systems
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|a Petri nets
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|a Problem of universals
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|a Rough set theory
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|a Search engine performance comparisons
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|a Trust formalization
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|a Web mining
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|a Sugumaran, Vijayan,
|d 1960-
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|a IGI Global.
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|c (Original)
|w (DLC) 2008023190
|z 9781605661445
|z 1605661449
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|u https://ezaccess.library.uitm.edu.my/login?url=http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-60566-144-5
|z View fulltext via EzAccess
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