CLICKS: An Effective Algorithm for Mining Subspace Clusters in Categorical Datasets

Proc. ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD 2005), Chicago, IL, USA, 2005: 736 - 742. (acceptance rate 22%)

Authors: Zaki M., Peters M., Assent I., Seidl T.
Published in: Proc. ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD 2005), Chicago, IL, USA
Publisher: ACM - New York,NY,USA
Sprache: EN
Jahr: 2005
Additional:

(acceptance rate 22%)

Seiten: 736 - 742
Konferenz: KDD
DOI:10.1145/1081870.1081965
URL:KDD 2005
Typ: Tagungsbeiträge
Forschungsgebiet: Data Analysis and Knowledge Extraction