Computational Intelligence in Data Mining

Giacomo Della Riccia

ISBN 10: 3211833269 / ISBN 13: 9783211833261

Edité par Springer, Springer, 2000

A propos de cet article

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.

N° de réf. du vendeur 9783211833261

Détails bibliographiques

• Titre: Computational Intelligence in Data Mining
• Éditeur: Springer, Springer
• Date de parution: 2000
• Langue: anglais
• ISBN à 10 chiffres: 3211833269
• ISBN à 13 chiffres: 9783211833261
• Reliure: Taschenbuch
• État de l'article: Neu
• Dimensions: 244 L x 170 H x 10 P (en millimètres) 244 millimètres de largeur par 170 millimètres de hauteur par 10 millimètres de profondeur
• Poids: 315 grammes

A propos de ce titre

Synopsis

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.