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» Semi-Supervised Clustering with Limited Background Knowledge
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SAC
2010
ACM
14 years 3 days ago
Background knowledge in formal concept analysis: constraints via closure operators
The aim of this short paper is to present a general method of using background knowledge to impose constraints in conceptual clustering of object-attribute relational data. The pr...
Radim Belohlávek, Vilém Vychodil
DKE
2010
167views more  DKE 2010»
13 years 2 months ago
Discovering private trajectories using background information
Trajectories are spatio-temporal traces of moving objects which contain valuable information to be harvested by spatio-temporal data mining techniques. Applications like city traf...
Emre Kaplan, Thomas Brochmann Pedersen, Erkay Sava...
KDD
2009
ACM
243views Data Mining» more  KDD 2009»
14 years 5 months ago
Exploiting Wikipedia as external knowledge for document clustering
In traditional text clustering methods, documents are represented as "bags of words" without considering the semantic information of each document. For instance, if two ...
Xiaohua Hu, Xiaodan Zhang, Caimei Lu, E. K. Park, ...
ICDM
2008
IEEE
147views Data Mining» more  ICDM 2008»
13 years 11 months ago
Clustering Documents with Active Learning Using Wikipedia
Wikipedia has been applied as a background knowledge base to various text mining problems, but very few attempts have been made to utilize it for document clustering. In this pape...
Anna Huang, David N. Milne, Eibe Frank, Ian H. Wit...