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Evolutionnary Computation in Data Mining
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Evolutionnary Computation in Data Mining

Evolutionnary Computation in Data Mining

Ashish Ghosh, Lakhmi C. Jain - Collection Studies in Fuzziness and Soft Computing

265 pages, parution le 27/10/2004

Résumé

The series Studies in Fuzziness and Soft Computing contains publications on various areas within so-called soft computing which include fuzzy sets, rough sets, neural networks, evolutionary computations, probabilistic and evidential reasoning, multivalued logic, and related fields. The publications within Studies in Fuzziness and Soft Computing are primarily monographs and edited volumes. They cover significant recent developments in the field, both of a foundational and applicable character. Contact the series editor by e-mail: kacprzyk@ibspan.waw.pl

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.

L'auteur - Ashish Ghosh

Indian Statistical Institute, Kolkata, India

L'auteur - Lakhmi C. Jain

University of South Australia, Adelaide, SA, Australia.
Editor

Sommaire

  • 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
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Caractéristiques techniques

  PAPIER
Éditeur(s) Springer
Auteur(s) Ashish Ghosh, Lakhmi C. Jain
Collection Studies in Fuzziness and Soft Computing
Parution 27/10/2004
Nb. de pages 265
Format 16 x 24
Couverture Relié
Poids 552g
Intérieur Noir et Blanc
EAN13 9783540223702

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