Mohlo by se vám také líbit

Více informací o knize Computational Intelligence in Data Mining

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

Nákupem získáte 168 bodů

Anotace knihy

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. 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.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Mathematical theory of computation

• Plný název: Computational Intelligence in Data Mining
• Autor: Giacomo Della Riccia, Rudolf Kruse, Hans-J. Lenz
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 166
• EAN: 9783211833261
• ISBN: 3211833269
• ID: 06799051
• Nakladatelství: Springer Verlag GmbH
• Hmotnost: 318 g
• Rozměry: 244 × 170 × 10 mm
• Datum vydání: 31. May 2000

Oblíbené z jiného soudku

---

---

---