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KDD
2009
ACM
198views Data Mining» more  KDD 2009»
14 years 10 months ago
Heterogeneous source consensus learning via decision propagation and negotiation
Nowadays, enormous amounts of data are continuously generated not only in massive scale, but also from different, sometimes conflicting, views. Therefore, it is important to conso...
Jing Gao, Wei Fan, Yizhou Sun, Jiawei Han
KDD
2009
ACM
260views Data Mining» more  KDD 2009»
14 years 10 months ago
Enabling analysts in managed services for CRM analytics
Data analytics tools and frameworks abound, yet rapid deployment of analytics solutions that deliver actionable insights from business data remains a challenge. The primary reason...
Indrajit Bhattacharya, Shantanu Godbole, Ajay Gupt...
PODS
2009
ACM
86views Database» more  PODS 2009»
14 years 10 months ago
Reverse data exchange: coping with nulls
An inverse of a schema mapping M is intended to "undo" what M does, thus providing a way to perform "reverse" data exchange. In recent years, three different f...
Ronald Fagin, Phokion G. Kolaitis, Lucian Popa, Wa...
KDD
2008
ACM
239views Data Mining» more  KDD 2008»
14 years 10 months ago
Mining adaptively frequent closed unlabeled rooted trees in data streams
Closed patterns are powerful representatives of frequent patterns, since they eliminate redundant information. We propose a new approach for mining closed unlabeled rooted trees a...
Albert Bifet, Ricard Gavaldà
KDD
2007
ACM
209views Data Mining» more  KDD 2007»
14 years 10 months ago
Temporal causal modeling with graphical granger methods
The need for mining causality, beyond mere statistical correlations, for real world problems has been recognized widely. Many of these applications naturally involve temporal data...
Andrew Arnold, Yan Liu, Naoki Abe