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CAINE
2009
13 years 6 months ago
Clustering Customer Transactions: A Rough Set Based Approach
An efficient customer behavior analysis is important for good Recommender System. Customer transaction clustering is usually the first step towards the analysis of customer behavi...
Arunava Saha, Darsana Das, Dipanjan Karmakar, Dili...
CSB
2004
IEEE
173views Bioinformatics» more  CSB 2004»
14 years 2 days ago
Gene Ontology Friendly Biclustering of Expression Profiles
The soundness of clustering in the analysis of gene expression profiles and gene function prediction is based on the hypothesis that genes with similar expression profiles may imp...
Jinze Liu, Wei Wang 0010, Jiong Yang
BMCBI
2007
265views more  BMCBI 2007»
13 years 8 months ago
Large scale clustering of protein sequences with FORCE -A layout based heuristic for weighted cluster editing
Background: Detecting groups of functionally related proteins from their amino acid sequence alone has been a long-standing challenge in computational genome research. Several clu...
Tobias Wittkop, Jan Baumbach, Francisco P. Lobo, S...
3DOR
2008
13 years 10 months ago
Markov Random Fields for Improving 3D Mesh Analysis and Segmentation
Mesh analysis and clustering have became important issues in order to improve the efficiency of common processing operations like compression, watermarking or simplification. In t...
Guillaume Lavoué, Christian Wolf
CAV
2000
Springer
125views Hardware» more  CAV 2000»
13 years 12 months ago
Efficient Reachability Analysis of Hierarchical Reactive Machines
Hierarchical state machines is a popular visual formalism for software specifications. To apply automated analysis to such specifications, the traditional approach is to compile th...
Rajeev Alur, Radu Grosu, Michael McDougall