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KDD
2003
ACM
175views Data Mining» more  KDD 2003»
16 years 6 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...
KDD
2002
ACM
183views Data Mining» more  KDD 2002»
16 years 6 months ago
E-CAST: A Data Mining Algorithm for Gene Expression Data
Data clustering methods have been proven to be a successful data mining technique in the analysis of gene expression data. The Cluster affinity search technique (CAST) developed b...
Abdelghani Bellaachia, David Portnoy, Yidong Chen,...
KDD
2002
ACM
148views Data Mining» more  KDD 2002»
16 years 6 months ago
Tumor cell identification using features rules
Advances in imaging techniques have led to large repositories of images. There is an increasing demand for automated systems that can analyze complex medical images and extract me...
Bin Fang, Wynne Hsu, Mong-Li Lee
KDD
2002
ACM
175views Data Mining» more  KDD 2002»
16 years 6 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,...
CHI
2007
ACM
16 years 6 months ago
Moving ux into a position of corporate influence: whose advice really works?
Professionals working to move user experience (UX) into a position of corporate influence are impeded by conflicting recommendations, including those regarding the roles of docume...
Richard I. Anderson, Jeremy Ashley, Tobias Herrman...
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