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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases

Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases

Dehuri, Satchidananda
Ghosh, Susmita
Ghosh, Ashish

Paperback

Series: Studies in Computational Intelligence, Book 98

Technology & EngineeringGeneral ComputersGeneral Mathematics

ISBN10: 3642096158
ISBN13: 9783642096150
Publisher: Springer Nature
Published: Nov 19 2010
Pages: 162
Weight: 0.56
Height: 0.38 Width: 6.14 Depth: 9.21
Language: English
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.

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