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ICDM
2003
IEEE
111views Data Mining» more  ICDM 2003»
15 years 10 months ago
OP-Cluster: Clustering by Tendency in High Dimensional Space
Clustering is the process of grouping a set of objects into classes of similar objects. Because of unknownness of the hidden patterns in the data sets, the definition of similari...
Jinze Liu, Wei Wang 0010
144
Voted
ICDM
2002
IEEE
162views Data Mining» more  ICDM 2002»
15 years 10 months ago
Phrase-based Document Similarity Based on an Index Graph Model
Document clustering techniques mostly rely on single term analysis of the document data set, such as the Vector Space Model. To better capture the structure of documents, the unde...
Khaled M. Hammouda, Mohamed S. Kamel
PAKDD
1999
ACM
113views Data Mining» more  PAKDD 1999»
15 years 9 months ago
Characterization of Default Knowledge in Ripple Down Rules Method
Abstract. \Ripple Down Rules (RDR)" Method is one of the promising approaches to directly acquire and encode knowledge from human experts. It requires data to be supplied incr...
Takuya Wada, Tadashi Horiuchi, Hiroshi Motoda, Tak...
KDD
1994
ACM
113views Data Mining» more  KDD 1994»
15 years 9 months ago
Exploration of Simulation Experiments by Discovery
: Weexemplify in this paper, howa discovery system is applied to the analysis of simulation experimentsin practical political planning, andshowwhatkind of newknowledgecan be discov...
Willi Klösgen
164
Voted
CIDM
2007
IEEE
15 years 9 months ago
An Efficient Distance Calculation Method for Uncertain Objects
Recently the academic communities have paid more attention to the queries and mining on uncertain data. In the tasks such as clustering or nearest-neighbor queries, expected distan...
Lurong Xiao, Edward Hung