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» Clustering with Qualitative Information
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KDD
2004
ACM
158views Data Mining» more  KDD 2004»
16 years 7 months ago
A generalized maximum entropy approach to bregman co-clustering and matrix approximation
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...
KDD
2003
ACM
133views Data Mining» more  KDD 2003»
16 years 7 months ago
Interactive Analysis of Gene Interactions Using Graphical gaussian model
DNA microarray provides a powerful basis for analysis of gene expression. Data mining methods such as clustering have been widely applied to microarray data to link genes that sho...
Xintao Wu, Yong Ye, Kalpathi R. Subramanian
151
Voted
CIKM
2009
Springer
16 years 1 months ago
Improving retrievability of patents with cluster-based pseudo-relevance feedback documents selection
High findability of documents within a certain cut-off rank is considered an important factor in recall-oriented application domains such as patent or legal document retrieval. ...
Shariq Bashir, Andreas Rauber
173
Voted
CIKM
2009
Springer
16 years 1 months ago
Compressing tags to find interesting media groups
On photo sharing websites like Flickr and Zooomr, users are offered the possibility to assign tags to their uploaded pictures. Using these tags to find interesting groups of sem...
Matthijs van Leeuwen, Francesco Bonchi, Börku...
PIMRC
2008
IEEE
16 years 1 months ago
Downlink overhead reduction for Multi-Cell Cooperative Processing enabled wireless networks
—Multi-cell Cooperative Processing (MCP) has been recognised as an efficient technique for increasing spectral efficiency of future cellular systems. However the provided bene...
Agisilaos Papadogiannis, Hans Jørgen Bang, ...