Computational Intelligence in Data Mining

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, ...

Computational Intelligence in Data Mining

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.

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Computational Intelligence in Data Mining
Language: en
Pages: 166
Authors: Giacomo Della Riccia, Rudolf Kruse, Hans-J. Lenz
Categories: Computers
Type: BOOK - Published: 2014-05-04 - Publisher: Springer

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 in Data Mining - Volume 2
Language: en
Pages: 707
Authors: Lakhmi C. Jain, Himansu Sekhar Behera, Jyotsna Kumar Mandal, Durga Prasad Mohapatra
Categories: Technology & Engineering
Type: BOOK - Published: 2014-12-10 - Publisher: Springer

The contributed volume aims to explicate and address the difficulties and challenges that of seamless integration of the two core disciplines of computer science, i.e., computational intelligence and data mining. Data Mining aims at the automatic discovery of underlying non-trivial knowledge from datasets by applying intelligent analysis techniques. The interest
Computational Intelligence in Data Mining
Language: en
Pages: 847
Authors: Himansu Sekhar Behera, Durga Prasad Mohapatra
Categories: Technology & Engineering
Type: BOOK - Published: 2017-05-19 - Publisher: Springer

The book presents high quality papers presented at the International Conference on Computational Intelligence in Data Mining (ICCIDM 2016) organized by School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha, India during December 10 – 11, 2016. The book disseminates the knowledge about innovative, active research directions
Data Mining and Computational Intelligence
Language: en
Pages: 356
Authors: Abraham Kandel, Mark Last, Horst Bunke
Categories: Computers
Type: BOOK - Published: 2013-11-11 - Publisher: Physica

Many business decisions are made in the absence of complete information about the decision consequences. Credit lines are approved without knowing the future behavior of the customers; stocks are bought and sold without knowing their future prices; parts are manufactured without knowing all the factors affecting their final quality; etc.
Computational Intelligence in Data Mining
Language: en
Pages: 801
Authors: Himansu Sekhar Behera, Janmenjoy Nayak, Bighnaraj Naik, Danilo Pelusi
Categories: Technology & Engineering
Type: BOOK - Published: 2019-08-17 - Publisher: Springer

This proceeding discuss the latest solutions, scientific findings and methods for solving intriguing problems in the fields of data mining, computational intelligence, big data analytics, and soft computing. This gathers outstanding papers from the fifth International Conference on “Computational Intelligence in Data Mining” (ICCIDM), and offer a “sneak preview” of