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KDD
2006
ACM
128views Data Mining» more  KDD 2006»
16 years 6 months ago
Workload-aware anonymization
Protecting data privacy is an important problem in microdata distribution. Anonymization algorithms typically aim to protect individual privacy, with minimal impact on the quality...
Kristen LeFevre, David J. DeWitt, Raghu Ramakrishn...
KDD
2006
ACM
149views Data Mining» more  KDD 2006»
16 years 6 months ago
Regularized discriminant analysis for high dimensional, low sample size data
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
Jieping Ye, Tie Wang
KDD
2005
ACM
112views Data Mining» more  KDD 2005»
16 years 6 months ago
Model-based overlapping clustering
While the vast majority of clustering algorithms are partitional, many real world datasets have inherently overlapping clusters. Several approaches to finding overlapping clusters...
Arindam Banerjee, Chase Krumpelman, Joydeep Ghosh,...
KDD
2004
ACM
164views Data Mining» more  KDD 2004»
16 years 6 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 6 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,...