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Intelligent Systems for Information Processing: From Representation to Applications

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Title: Intelligent Systems for Information Processing: From Representation to Applications
Description: Intelligent systems are required to enhance the capacities being made available to us by the internet and other computer based technologies. The theory necessary to help providing solutions to difficult problems in the construction of intelligent systems are discussed. In particular, attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of a linguistic nature. Various methodologies to manage such information are discussed. Among these are the probabilistic, possibilistic, fuzzy, logical, evidential and network-based frameworks.One purpose of the book is not to consider these methodologies separately, but rather to consider how they can be used cooperatively to better represent the multiplicity of modes of information. Topics in the book include representation of imperfect knowledge, fundamental issues in uncertainty, reasoning, information retrieval, learning and mining, as well as various applications.Key Features:• Tools for construction of intelligent systems• Contributions by world leading experts• Fundamental issues and applications• New technologies for web searching• Methods for modeling uncertain information• Future directions in web technologies• Transversal to methods and domains
Authors: B. Bouchon-Meunier, L. Foulloy, Ronald R. Yager
Resource Type: eBook.
Subjects: Artificial intelligence--Congresses, Artificial intelligence, Expert systems (Computer science)--Congresses, Uncertainty (Information theory)--Congresses, Expert systems (Computer science)
Categories: MATHEMATICS / Applied
Database: eBook Collection (EBSCOhost)
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Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 198976
RelevancyScore: 985
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 985.343994140625
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  Data: Intelligent systems are required to enhance the capacities being made available to us by the internet and other computer based technologies. The theory necessary to help providing solutions to difficult problems in the construction of intelligent systems are discussed. In particular, attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of a linguistic nature. Various methodologies to manage such information are discussed. Among these are the probabilistic, possibilistic, fuzzy, logical, evidential and network-based frameworks.One purpose of the book is not to consider these methodologies separately, but rather to consider how they can be used cooperatively to better represent the multiplicity of modes of information. Topics in the book include representation of imperfect knowledge, fundamental issues in uncertainty, reasoning, information retrieval, learning and mining, as well as various applications.Key Features:• Tools for construction of intelligent systems• Contributions by world leading experts• Fundamental issues and applications• New technologies for web searching• Methods for modeling uncertain information• Future directions in web technologies• Transversal to methods and domains
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      – Code: eng
        Text: English
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      – SubjectFull: Artificial intelligence--Congresses
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Expert systems (Computer science)--Congresses
        Type: general
      – SubjectFull: Uncertainty (Information theory)--Congresses
        Type: general
      – SubjectFull: Expert systems (Computer science)
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      – TitleFull: Intelligent Systems for Information Processing: From Representation to Applications
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            – D: 01
              M: 01
              Type: published
              Y: 2003
            – D: 04
              M: 02
              Type: profile
              Y: 2014
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              Value: 9780444513793
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              Value: 9780080525655
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