Data Mining, Rough Sets and Granular Computing
During the past few years, data mining has grown rapidly in visibility and importance within information processing and decision analysis. This is par ticularly true in the realm of e-commerce, where data mining is moving from a "nice-to-have" to a "must-have" status. In a diffe...
| Corporate Author: | SpringerLink (Online service) |
|---|---|
| Other Authors: | Lin, Tsau Young (Editor, http://id.loc.gov/vocabulary/relators/edt), Yao, Yiyu Y. (Editor, http://id.loc.gov/vocabulary/relators/edt), Zadeh, Lotfi A. (Editor, http://id.loc.gov/vocabulary/relators/edt) |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Heidelberg :
Physica-Verlag HD : Imprint: Physica,
2002.
|
| Edition: | 1st ed. 2002. |
| Series: | Studies in Fuzziness and Soft Computing,
95 |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Similar Items
-
Rough Sets in Knowledge Discovery 2 Applications, Case Studies and Software Systems /
Published: (1998) -
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing 9th International Conference, RSFDGrC 2003, Chongqing, China, May 26-29, 2003, Proceedings /
Published: (2003) -
New Directions in Rough Sets, Data Mining, and Granular-Soft Computing 7th International Workshop, RSFDGrC'99, Yamaguchi, Japan, November 9-11, 1999 Proceedings /
Published: (1999) -
Data Mining and Computational Intelligence
Published: (2001) -
Database Support for Data Mining Applications Discovering Knowledge with Inductive Queries /
Published: (2004)