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» Statistical Approach to Networks-on-Chip
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135
Voted
KDD
2004
ACM
196views Data Mining» more  KDD 2004»
16 years 4 months ago
Adversarial classification
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
Nilesh N. Dalvi, Pedro Domingos, Mausam, Sumit K. ...
124
Voted
KDD
2003
ACM
175views Data Mining» more  KDD 2003»
16 years 4 months ago
Time and sample efficient discovery of Markov blankets and direct causal relations
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
128
Voted
KDD
2002
ACM
175views Data Mining» more  KDD 2002»
16 years 4 months ago
Mining product reputations on the Web
Knowing the reputations of your own and/or competitors' products is important for marketing and customer relationship management. It is, however, very costly to collect and a...
Satoshi Morinaga, Kenji Yamanishi, Kenji Tateishi,...
126
Voted
KDD
2002
ACM
127views Data Mining» more  KDD 2002»
16 years 4 months ago
Mining knowledge-sharing sites for viral marketing
Viral marketing takes advantage of networks of influence among customers to inexpensively achieve large changes in behavior. Our research seeks to put it on a firmer footing by mi...
Matthew Richardson, Pedro Domingos
144
Voted
RECOMB
2007
Springer
16 years 4 months ago
Framework for Identifying Common Aberrations in DNA Copy Number Data
High-resolution array comparative genomic hybridization (aCGH) provides exon-level mapping of DNA aberrations in cells or tissues. Such aberrations are central to carcinogenesis an...
Amir Ben-Dor, Doron Lipson, Anya Tsalenko, Mark Re...