Aufsatzsammlung
Evolutionary computation in data mining
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.
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISBN
-
9783540223702
3540223703
- Maße
-
24 cm
- Umfang
-
XVII, 265 S.
- Sprache
-
Englisch
- Anmerkungen
-
Ill., graph. Darst.
Literaturangaben
- Erschienen in
-
Studies in fuzziness and soft computing ; Vol. 163
- Klassifikation
-
Informatik
- Schlagwort
-
Data Mining
Evolutionärer Algorithmus
Data Mining
Evolutionärer Algorithmus
Mehragentensystem
Data Mining
Wissensextraktion
Evolutionärer Algorithmus
- Ereignis
-
Veröffentlichung
- (wo)
-
Berlin, Heidelberg, New York
- (wer)
-
Springer
- (wann)
-
2005
- Beteiligte Personen und Organisationen
-
Ghosh, Ashish
- Inhaltsverzeichnis
- Rechteinformation
-
Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.
- Letzte Aktualisierung
-
11.06.2025, 14:01 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Aufsatzsammlung
Beteiligte
- Ghosh, Ashish
- Springer
Entstanden
- 2005
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