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152
Voted
KDD
2008
ACM
195views Data Mining» more  KDD 2008»
16 years 2 months ago
Anomaly pattern detection in categorical datasets
We propose a new method for detecting patterns of anomalies in categorical datasets. We assume that anomalies are generated by some underlying process which affects only a particu...
Kaustav Das, Jeff G. Schneider, Daniel B. Neill
KDD
2005
ACM
146views Data Mining» more  KDD 2005»
16 years 2 months ago
Anonymity-preserving data collection
Protection of privacy has become an important problem in data mining. In particular, individuals have become increasingly unwilling to share their data, frequently resulting in in...
Zhiqiang Yang, Sheng Zhong, Rebecca N. Wright
KDD
2003
ACM
190views Data Mining» more  KDD 2003»
16 years 2 months ago
Distance-enhanced association rules for gene expression
We introduce a novel data mining technique for the analysis of gene expression. Gene expression is the effective production of the protein that a gene encodes. We focus on the cha...
Aleksandar Icev, Carolina Ruiz, Elizabeth F. Ryder
112
Voted
CHI
2005
ACM
16 years 2 months ago
Evaluating navigational surrogate formats with divergent browsing tasks
Navigational surrogates are representations that stand for information resources within search engine result sets, e-commerce sites, and digital libraries. They also form the basi...
Andruid Kerne, Steven M. Smith, Hyun Choi, Ross Gr...
147
Voted
VLSID
2008
IEEE
150views VLSI» more  VLSID 2008»
16 years 2 months ago
PTSMT: A Tool for Cross-Level Power, Performance, and Thermal Exploration of SMT Processors
Simultaneous Multi-Threading (SMT) processors are becoming popular because they exploit both instruction-level and threadlevel parallelism by issuing instructions from different t...
Deepa Kannan, Aseem Gupta, Aviral Shrivastava, Nik...