Computational Intelligence in Data Mining

Computational Intelligence in Data Mining

Author: Giacomo Della Riccia

Publisher: Springer Science & Business Media

ISBN: 3211833269

Page: 166

Download BOOK

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, ...

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.



More Books:

Computational Intelligence in Data Mining
Language: en
Pages: 166
Authors: Giacomo Della Riccia, Rudolf Kruse, Hans-J. Lenz, Hans-Joachim Lenz
Categories: Computers
Type: BOOK - Published: 2000-05-31 - Publisher: Springer Science & Business Media

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.
Computational Intelligence
Language: en
Pages: 708
Authors: Amit Konar
Categories: Mathematics
Type: BOOK - Published: 2006-01-16 - Publisher: Springer Science & Business Media

Computational Intelligence: Principles, Techniques and Applications presents both theories and applications of computational intelligence in a clear, precise and highly comprehensive style. The textbook addresses the fundamental aspects of fuzzy sets and logic, neural networks, evolutionary computing and belief networks. The application areas include fuzzy databases, fuzzy control, image understanding,
Springer Handbook of Computational Intelligence
Language: en
Pages: 1634
Authors: Janusz Kacprzyk, Witold Pedrycz
Categories: Computers
Type: BOOK - Published: 2015-05-18 - Publisher: Springer

The Springer Handbook for Computational Intelligence is the first book covering the basics, the state-of-the-art and important applications of the dynamic and rapidly expanding discipline of computational intelligence. This comprehensive handbook makes readers familiar with a broad spectrum of approaches to solve various problems in science and technology. Possible approaches
Computational Intelligence and Sustainable Systems
Language: en
Pages: 304
Authors: H. Anandakumar, R. Arulmurugan, Chow Chee Onn
Categories: Technology & Engineering
Type: BOOK - Published: 2018-12-14 - Publisher: Springer

This book features research related to computational intelligence and energy and thermal aware management of computing resources. The authors publish original and timely research in current areas of power, energy, temperature, and environmental engineering as and advances in computational intelligence that are benefiting the fields. Topics include signal processing architectures,
Computational Intelligence
Language: en
Pages: 492
Authors: Rudolf Kruse, Christian Borgelt, Frank Klawonn, Christian Moewes, Matthias Steinbrecher, Pascal Held
Categories: Computers
Type: BOOK - Published: 2013-03-27 - Publisher: Springer Science & Business Media

This clearly-structured, classroom-tested textbook/reference presents a methodical introduction to the field of CI. Providing an authoritative insight into all that is necessary for the successful application of CI methods, the book describes fundamental concepts and their practical implementations, and explains the theoretical background underpinning proposed solutions to common problems. Only