Rough Sets and Data Mining
Analysis of Imprecise Data
Rough Sets and Data Mining: Analysis of Imprecise Data is an edited collection of research chapters on the most recent developments in rough set theory and data mining. The chapters in this work cover a range of topics that focus on discovering dependencies among data, and reasoning about vague, uncertain and imprecise information. The authors of these chapters have been careful to include fundamental research with explanations as well as coverage of rough set tools that can be used for mining data bases. The contributing authors consist of some of the leading scholars in the fields of rough sets, data mining, machine learning and o…
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Produktdetails
Weitere Autoren: Lin, T. Y. (Hrsg.)
- ISBN: 978-1-4612-8637-0
- EAN: 9781461286370
- Produktnummer: 13390720
- Verlag: Springer Us
- Sprache: Englisch
- Erscheinungsjahr: 2011
- Seitenangabe: 452 S.
- Masse: H23.5 cm x B15.5 cm x D2.4 cm 680 g
- Auflage: 1997
- Abbildungen: Paperback
- Gewicht: 680
3 weitere Werke von N. (Hrsg.) Cercone:
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