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ICDM
2008
IEEE
184views Data Mining» more  ICDM 2008»
16 years 1 months ago
Bayesian Co-clustering
In recent years, co-clustering has emerged as a powerful data mining tool that can analyze dyadic data connecting two entities. However, almost all existing co-clustering techniqu...
Hanhuai Shan, Arindam Banerjee
VTS
2008
IEEE
119views Hardware» more  VTS 2008»
16 years 1 months ago
Error Sequence Analysis
With increasing IC process variation and increased operating speed, it is more likely that even subtle defects will lead to the malfunctioning of a circuit. Various fault models, ...
Jaekwang Lee, Intaik Park, Edward J. McCluskey
CIDM
2007
IEEE
16 years 1 months ago
Distributed Document Clustering Using Word-clusters
−Document clustering has become an increasingly important task in analyzing huge numbers of documents distributed among various sites. The challenging aspect is to analyze this e...
Debzani Deb, Rafal A. Angryk
CSB
2005
IEEE
126views Bioinformatics» more  CSB 2005»
16 years 15 days ago
Discover True Association Rates in Multi-protein Complex Proteomics Data Sets
Experimental processes to collect and process proteomics data are increasingly complex, while the computational methods to assess the quality and significance of these data remain...
Changyu Shen, Lang Li, Jake Yue Chen
IFM
2004
Springer
104views Formal Methods» more  IFM 2004»
16 years 8 days ago
Linking CSP-OZ with UML and Java: A Case Study
Abstract. We describe how CSP-OZ, an integrated formal method combining the process algebra CSP with the specification language Object-Z, can be linked to standard software engine...
Michael Möller, Ernst-Rüdiger Olderog, H...