Evolutionary Computation in Data Mining

Name: Evolutionary Computation in Data Mining
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783540223702
Price: 553.38 RON
Availability: InStock

Autor: Ashish Ghosh, Lakhmi C. Jain

Limbă:

Legare: Copertă tare

Editura: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Disponibilitate: În depozitul extern

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553.38 lei

This carefully edited book reflects and advances the state of the art in the area of Data Mining and...

Informații despre carte

Autor

Ashish Ghosh, Lakhmi C. Jain

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2004

Pagini

266

EAN

9783540223702

ISBN

3540223703

Enbook ID

01559579

Editura

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Greutate

1290

Dimensiuni

155 x 235 x 21

Descriere completă

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.

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