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Transactions on Rough Sets III [electronic resource] /edited by James F. Peters, Andrzej Skowron.

by Peters, James F [editor.]; Skowron, Andrzej [editor.]; SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 3400Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.Description: IX, 461 p. Also available online. online resource.ISBN: 9783540318507.Subject(s): Computer science | Database management | Artificial intelligence | Computer vision | Computer Science | Mathematical Logic and Formal Languages | Computation by Abstract Devices | Artificial Intelligence (incl. Robotics) | Database Management | Image Processing and Computer VisionDDC classification: 005.131 Online resources: Click here to access online
Contents:
Regular Papers -- Flow Graphs and Data Mining -- The Rough Set Exploration System -- Rough Validity, Confidence, and Coverage of Rules in Approximation Spaces -- Knowledge Extraction from Intelligent Electronic Devices -- Processing of Musical Data Employing Rough Sets and Artificial Neural Networks -- Computational Intelligence in Bioinformatics -- Rough Ethology: Towards a Biologically-Inspired Study of Collective Behavior in Intelligent Systems with Approximation Spaces -- Approximation Spaces and Information Granulation -- The Rough Set Database System: An Overview -- Rough Sets and Bayes Factor -- Formal Concept Analysis and Rough Set Theory from the Perspective of Finite Topological Approximations -- Dissertations and Monographs -- Time Complexity of Decision Trees.
In: Springer eBooksSummary: The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence. This third volume of the Transactions on Rough Sets presents 11 revised papers that have been through a careful peer reviewing process by the journal's Editorial Board. The research monograph "Time Complexity of Decision Trees" by Mikhail Ju. Moshkov is presented in the section on dissertation and monographs. Among the regular papers the one by Zdzislaw Pawlak entitled "Flow Graphs and Data Mining" deserves a special mention.
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Regular Papers -- Flow Graphs and Data Mining -- The Rough Set Exploration System -- Rough Validity, Confidence, and Coverage of Rules in Approximation Spaces -- Knowledge Extraction from Intelligent Electronic Devices -- Processing of Musical Data Employing Rough Sets and Artificial Neural Networks -- Computational Intelligence in Bioinformatics -- Rough Ethology: Towards a Biologically-Inspired Study of Collective Behavior in Intelligent Systems with Approximation Spaces -- Approximation Spaces and Information Granulation -- The Rough Set Database System: An Overview -- Rough Sets and Bayes Factor -- Formal Concept Analysis and Rough Set Theory from the Perspective of Finite Topological Approximations -- Dissertations and Monographs -- Time Complexity of Decision Trees.

The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence. This third volume of the Transactions on Rough Sets presents 11 revised papers that have been through a careful peer reviewing process by the journal's Editorial Board. The research monograph "Time Complexity of Decision Trees" by Mikhail Ju. Moshkov is presented in the section on dissertation and monographs. Among the regular papers the one by Zdzislaw Pawlak entitled "Flow Graphs and Data Mining" deserves a special mention.

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