A novel unsupervised fuzzy clustering method for preprocessing of quantitative attributes in association rule mining
Binu Thomas; G. Raju
| Year of publication: |
2014
|
|---|---|
| Authors: | Thomas, Binu ; Raju, G. |
| Published in: |
Information technology and management. - New York, NY [u.a.] : Springer, ISSN 1385-951X, ZDB-ID 2212813-X. - Vol. 15.2014, 1, p. 9-17
|
| Subject: | Association rules | Fuzzy clustering | Unsupervised clustering | Weighted association rules | Data Mining | Data mining | Fuzzy-Set-Theorie | Fuzzy sets | Clusteranalyse | Cluster analysis |
| Extent: | Ill., graph. Darst. |
|---|---|
| Type of publication: | Article |
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10010343551