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» Categorization using semi-supervised clustering
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KDD
2002
ACM
293views Data Mining» more  KDD 2002»
14 years 9 months ago
Automatic Categorization of Web Pages and User Clustering with Mixtures of Hidden Markov Models
We propose mixtures of hidden Markov models for modelling clickstreams of web surfers. Hence, the page categorization is learned from the data without the need for a (possibly cumb...
Alexander Ypma, Tom Heskes
ICDE
2005
IEEE
132views Database» more  ICDE 2005»
14 years 2 months ago
CLICKS: Mining Subspace Clusters in Categorical Data via K-partite Maximal Cliques
We present a novel algorithm called CLICKS, that finds clusters in categorical datasets based on a search for kpartite maximal cliques. Unlike previous methods, CLICKS mines subs...
Mohammed Javeed Zaki, Markus Peters
ICPR
2008
IEEE
14 years 3 months ago
Dual clustering for categorization of action sequences
This paper proposes a novel algorithm for categorization of action video sequences using unsupervised dual clustering. Given a video database, we extract motion information of act...
Joanna Cheng, Liang Wang, Christopher Leckie
SIGIR
2008
ACM
13 years 8 months ago
Report on the XML mining track at INEX 2007 categorization and clustering of XML documents
This report concerns the last edition of the XML Mining Track at INEX 2007. A preceding report has been already published concerning the two preceding editions of the track. We pr...
Ludovic Denoyer, Patrick Gallinari
IJDMB
2006
125views more  IJDMB 2006»
13 years 8 months ago
Bi-level clustering of mixed categorical and numerical biomedical data
: Biomedical data sets often have mixed categorical and numerical types, where the former represent semantic information on the objects and the latter represent experimental result...
Bill Andreopoulos, Aijun An, Xiaogang Wang