The book aims to merge Computational Intelligence with Data Mining, which are both hot topics of current research and industrial development, Computational Intelligence, incorporates techniques like data fusion, uncertain reasoning, heuristic search, learning, and soft computing. Data Mining focuses on unscrambling unknown patterns or structures in very large data sets. Under the headline "Discovering Structures in Large Databases the book starts with a unified view on Data Mining and Statistics A System Point of View . Two special techniques follow: Subgroup Mining , and Data Mining with Possibilistic Graphical Models . "Data Fusion and Possibilistic or Fuzzy Data Analysis is the next area of interest. An overview of possibilistic logic, nonmonotonic reasoning and data fusion is given, the coherence problem between data and non-linear fuzzy models is tackled, and outlier detection based on learning of fuzzy models is studied. In the domain of "Classification and Decomposition adaptive clustering and visualisation of high dimensional data sets is introduced. Finally, in the section "Learning and Data Fusion learning of special multi-agents of virtual soccer is considered. The last topic is on data fusion based on stochastic models.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Data Mining and Statistics: a Systems Point of View (A. Siebes).- Subgroup Mining (W. Klösgen).- Possibilistic Graphical Models (C. Borgelt, J. Gebhardt, R. Kruse).- An Overview of Possibilistic Logic and its Application to Nonmonotonic Reasoning and Data Fusion (S. Benferhat, D. Dubois, H. Prade).- On the Solution of Fuzzy Equation Systems (H.-J. Lenz, R. Müller).- Learning Fuzzy Models and Potential Outliers (M. R. Berthold).- An Algorithm for Adaptive Clustering and Visualisation of Highdimensional Data Sets (F. Schwenker, H. A. Kestler, G. Palm).- Learning in Computer Soccer (H.-D. Burkhard).- Controlling Based on Stochastic Models (H.-J. Lenz, E. Rödel).
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The book aims to merge Computational Intelligence with Data Mining, which are both hot topics of current research and industrial development, Computational Intelligence, incorporates techniques like data fusion, uncertain reasoning, heuristic search, learni. Codice articolo 4489065
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book aims to merge Computational Intelligence with Data Mining, which are both hot topics of current research and industrial development, Computational Intelligence, incorporates techniques like data fusion, uncertain reasoning, heuristic search, learning, and soft computing. Data Mining focuses on unscrambling unknown patterns or structures in very large data sets. Under the headline 'Discovering Structures in Large Databases' the book starts with a unified view on 'Data Mining and Statistics - A System Point of View'. Two special techniques follow: 'Subgroup Mining', and 'Data Mining with Possibilistic Graphical Models'. 'Data Fusion and Possibilistic or Fuzzy Data Analysis' is the next area of interest. An overview of possibilistic logic, nonmonotonic reasoning and data fusion is given, the coherence problem between data and non-linear fuzzy models is tackled, and outlier detection based on learning of fuzzy models is studied. In the domain of 'Classification and Decomposition' adaptive clustering and visualisation of high dimensional data sets is introduced. Finally, in the section 'Learning and Data Fusion' learning of special multi-agents of virtual soccer is considered. The last topic is on data fusion based on stochastic models. 176 pp. Englisch. Codice articolo 9783211833261
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book aims to merge Computational Intelligence with Data Mining, which are both hot topics of current research and industrial development, Computational Intelligence, incorporates techniques like data fusion, uncertain reasoning, heuristic search, learning, and soft computing. Data Mining focuses on unscrambling unknown patterns or structures in very large data sets. Under the headline 'Discovering Structures in Large Databases' the book starts with a unified view on 'Data Mining and Statistics - A System Point of View'. Two special techniques follow: 'Subgroup Mining', and 'Data Mining with Possibilistic Graphical Models'. 'Data Fusion and Possibilistic or Fuzzy Data Analysis' is the next area of interest. An overview of possibilistic logic, nonmonotonic reasoning and data fusion is given, the coherence problem between data and non-linear fuzzy models is tackled, and outlier detection based on learning of fuzzy models is studied. In the domain of 'Classification and Decomposition' adaptive clustering and visualisation of high dimensional data sets is introduced. Finally, in the section 'Learning and Data Fusion' learning of special multi-agents of virtual soccer is considered. The last topic is on data fusion based on stochastic models. Codice articolo 9783211833261
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The book aims to merge Computational Intelligence with Data Mining, which are both hot topics of current research and industrial development, Computational Intelligence, incorporates techniques like data fusion, uncertain reasoning, heuristic search, learning, and soft computing. Data Mining focuses on unscrambling unknown patterns or structures in very large data sets. Under the headline 'Discovering Structures in Large Databases¿ the book starts with a unified view on ¿Data Mining and Statistics ¿ A System Point of View¿. Two special techniques follow: ¿Subgroup Mining¿, and ¿Data Mining with Possibilistic Graphical Models¿. 'Data Fusion and Possibilistic or Fuzzy Data Analysis¿ is the next area of interest. An overview of possibilistic logic, nonmonotonic reasoning and data fusion is given, the coherence problem between data and non-linear fuzzy models is tackled, and outlier detection based on learning of fuzzy models is studied. In the domain of 'Classification and Decomposition¿ adaptive clustering and visualisation of high dimensional data sets is introduced. Finally, in the section 'Learning and Data Fusion¿ learning of special multi-agents of virtual soccer is considered. The last topic is on data fusion based on stochastic models.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 176 pp. Englisch. Codice articolo 9783211833261
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