Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases
Data Mining (DM) is the most commonly used name to describe such computational analysis of data and the results obtained must conform to several objectives such as accuracy, comprehensibility, interest for the user etc. Though there are many sophisticated techniques developed by various interdisciplinary fields only a few of them are well equipped to handle these multi-criteria issues of DM. Therefore, the DM issues have attracted considerable attention of the well established multiobjective genetic algorithm community to optimize the objectives in the tasks of DM.The present volume provides a collection of seven articles containing new and h…
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Produktdetails
Weitere Autoren: Dehuri, Satchidananda (Hrsg.) / Ghosh, Susmita (Hrsg.)
- ISBN: 978-3-540-77466-2
- EAN: 9783540774662
- Produktnummer: 1115671
- Verlag: Springer-Verlag GmbH
- Sprache: Englisch
- Erscheinungsjahr: 2008
- Seitenangabe: 160 S.
- Masse: H24.1 cm x B16.0 cm x D1.4 cm 436 g
- Reihenbandnummer: 98
- Gewicht: 436
23 weitere Werke von Ashish (Hrsg.) Ghosh:
Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases
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