Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases

By Susmita Ghosh and Satchidananda Dehuri

Book Overview

Genetic Algorithm for Optimization of Multiple Objectives in Knowledge Discovery from Large Databases.- Knowledge Incorporation in Multi-objective Evolutionary Algorithms.- Evolutionary Multi-objective Rule Selection for Classification Rule Mining.- Rule Extraction from Compact Pareto-optimal Neural Networks.- On the Usefulness of MOEAs for Getting Compact FRBSs Under Parameter Tuning and Rule Selection.- Classification and Survival Analysis Using Multi-objective Evolutionary Algorithms.- Clustering Based on Genetic Algorithms.

• Format: Paperback
• Language: English
• ISBN: 3642096158
• ISBN13: 9783642096150
• Release Date: November 2010
• Publisher: Springer
• Length: 162 Pages
• Weight: 0.56 lbs.
• Dimensions: 0.4" x 6.1" x 9.2"