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KDD
2004
ACM
132views Data Mining» more  KDD 2004»
16 years 7 months ago
Privacy preserving regression modelling via distributed computation
Reluctance of data owners to share their possibly confidential or proprietary data with others who own related databases is a serious impediment to conducting a mutually beneficia...
Ashish P. Sanil, Alan F. Karr, Xiaodong Lin, Jerom...
KDD
2004
ACM
187views Data Mining» more  KDD 2004»
16 years 7 months ago
IMMC: incremental maximum margin criterion
Subspace learning approaches have attracted much attention in academia recently. However, the classical batch algorithms no longer satisfy the applications on streaming data or la...
Jun Yan, Benyu Zhang, Shuicheng Yan, Qiang Yang, H...
KDD
2004
ACM
302views Data Mining» more  KDD 2004»
16 years 7 months ago
Redundancy based feature selection for microarray data
In gene expression microarray data analysis, selecting a small number of discriminative genes from thousands of genes is an important problem for accurate classification of diseas...
Lei Yu, Huan Liu
KDD
2003
ACM
214views Data Mining» more  KDD 2003»
16 years 7 months ago
Adaptive duplicate detection using learnable string similarity measures
The problem of identifying approximately duplicate records in databases is an essential step for data cleaning and data integration processes. Most existing approaches have relied...
Mikhail Bilenko, Raymond J. Mooney
179
Voted
KDD
2003
ACM
243views Data Mining» more  KDD 2003»
16 years 7 months ago
Accurate decision trees for mining high-speed data streams
In this paper we study the problem of constructing accurate decision tree models from data streams. Data streams are incremental tasks that require incremental, online, and any-ti...
João Gama, Pedro Medas, Ricardo Rocha
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