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KDD
2003
ACM
129views Data Mining» more  KDD 2003»
16 years 7 months ago
Empirical comparisons of various voting methods in bagging
Finding effective methods for developing an ensemble of models has been an active research area of large-scale data mining in recent years. Models learned from data are often subj...
Kelvin T. Leung, Douglas Stott Parker Jr.
KDD
2003
ACM
122views Data Mining» more  KDD 2003»
16 years 7 months ago
Discovery of climate indices using clustering
To analyze the effect of the oceans and atmosphere on land climate, Earth Scientists have developed climate indices, which are time series that summarize the behavior of selected ...
Michael Steinbach, Pang-Ning Tan, Vipin Kumar, Ste...
KDD
2002
ACM
175views Data Mining» more  KDD 2002»
16 years 7 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,...
168
Voted
PODS
2007
ACM
122views Database» more  PODS 2007»
16 years 6 months ago
Privacy, accuracy, and consistency too: a holistic solution to contingency table release
The contingency table is a work horse of official statistics, the format of reported data for the US Census, Bureau of Labor Statistics, and the Internal Revenue Service. In many ...
Boaz Barak, Kamalika Chaudhuri, Cynthia Dwork, Sat...
EDBT
2004
ACM
268views Database» more  EDBT 2004»
16 years 6 months ago
DBDC: Density Based Distributed Clustering
Abstract. Clustering has become an increasingly important task in modern application domains such as marketing and purchasing assistance, multimedia, molecular biology as well as m...
Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle