Aufsatzsammlung

Evolutionary computation in data mining

This carefully edited book reflects and advances the state of the art in the area of Data Mining and Knowledge Discovery with Evolutionary Algorithms. It emphasizes the utility of different evolutionary computing tools to various facets of knowledge discovery from databases, ranging from theoretical analysis to real-life applications. "Evolutionary Computation in Data Mining" provides a balanced mixture of theory, algorithms and applications in a cohesive manner, and demonstrates how the different tools of evolutionary computation can be used for solving real-life problems in data mining and bioinformatics. TOC:Evolutionary Algorithms for Data Mining and Knowledge Discovery.- Strategies for Scaling Up Evolutionary Instance Reduction Algorithms for Data Mining.- GAP: Constructing and Selecting Features with Evolutionary Computing.- Multi-Agent Data Mining using Evolutionary Computing.- A Rule Extraction System with Class-Dependent Features.- Knowledge Discovery in Data Mining via an Evolutionary Algorithm.- Diversity and Neuro-Ensemble.- Unsupervised Niche Clustering: Discovering an Unknown Number of Clusters in Noisy Data Sets.- Evolutionary Computation in Intelligent Network Management.- Genetic Programming in Data Mining for Drug Discovery.- Microarray Data Mining with Evolutionary Computation.- An Evolutionary Modularized Data Mining Mechanism for Financial Distress Forecasts.

Location
Deutsche Nationalbibliothek Frankfurt am Main
ISBN
9783540223702
3540223703
Dimensions
24 cm
Extent
XVII, 265 S.
Language
Englisch
Notes
Ill., graph. Darst.
Literaturangaben

Bibliographic citation
Studies in fuzziness and soft computing ; Vol. 163

Classification
Informatik
Keyword
Data Mining
Evolutionärer Algorithmus
Data Mining
Evolutionärer Algorithmus
Mehragentensystem
Data Mining
Wissensextraktion
Evolutionärer Algorithmus

Event
Veröffentlichung
(where)
Berlin, Heidelberg, New York
(who)
Springer
(when)
2005
Contributor
Ghosh, Ashish

Table of contents
Rights
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Last update
11.03.2025, 11:51 AM CET

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Object type

  • Aufsatzsammlung

Associated

  • Ghosh, Ashish
  • Springer

Time of origin

  • 2005

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