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KDD
2005
ACM
166views Data Mining» more  KDD 2005»
16 years 7 months ago
A general model for clustering binary data
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
Tao Li
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
2004
ACM
164views Data Mining» more  KDD 2004»
16 years 7 months ago
Ordering patterns by combining opinions from multiple sources
Pattern ordering is an important task in data mining because the number of patterns extracted by standard data mining algorithms often exceeds our capacity to manually analyze the...
Pang-Ning Tan, Rong Jin
HPCA
2008
IEEE
16 years 7 months ago
Power-Efficient DRAM Speculation
Power-Efficient DRAM Speculation (PEDS) is a power optimization targeted at broadcast-based sharedmemory multiprocessor systems that speculatively access DRAM in parallel with the...
Nidhi Aggarwal, Jason F. Cantin, Mikko H. Lipasti,...
HPCA
2006
IEEE
16 years 7 months ago
Construction and use of linear regression models for processor performance analysis
Processor architects have a challenging task of evaluating a large design space consisting of several interacting parameters and optimizations. In order to assist architects in ma...
P. J. Joseph, Kapil Vaswani, Matthew J. Thazhuthav...
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