Classification, Clustering, and Data Mining Applications
Proceedings of the Meeting of the International Federation of Classification Societies (IFCS), Illinois Institute of Technology, Chicago, 15 18 July 2004
(Sprache: Englisch)
Modern data analysis stands at the interface of statistics, computer science, and discrete mathematics. This volume describes new methods in this area, with special emphasis on classification and cluster analysis. Those methods are applied to problems in...
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Klappentext zu „Classification, Clustering, and Data Mining Applications “
Modern data analysis stands at the interface of statistics, computer science, and discrete mathematics. This volume describes new methods in this area, with special emphasis on classification and cluster analysis. Those methods are applied to problems in information retrieval, phylogeny, medical diagnosis, microarrays, and other active research areas.
Inhaltsverzeichnis zu „Classification, Clustering, and Data Mining Applications “
- New Methods in Cluster Analysis- Modern Nonparametrics
- Classification and Dimension Reduction
- Symbolic Data Analysis
- Taxonomy and Medicine
- Text Mining
- Contingency Tables and Missing Data.
Bibliographische Angaben
- 2004, XIV, 658 Seiten, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: David Banks, Leanna House, Frederick R. McMorris
- Verlag: Springer, Berlin
- ISBN-10: 3540220143
- ISBN-13: 9783540220145
- Erscheinungsdatum: 09.06.2004
Sprache:
Englisch
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