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» Theoretical Frameworks for Data Mining
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TKDE
2012
192views Formal Methods» more  TKDE 2012»
11 years 11 months ago
Discriminative Feature Selection by Nonparametric Bayes Error Minimization
Feature selection is fundamental to knowledge discovery from massive amount of high-dimensional data. In an effort to establish theoretical justification for feature selection al...
Shuang-Hong Yang, Bao-Gang Hu
ICDE
2006
IEEE
119views Database» more  ICDE 2006»
14 years 10 months ago
Laws for Rewriting Queries Containing Division Operators
Relational division, also known as small divide, is a derived operator of the relational algebra that realizes a many-to-one set containment test, where a set is represented as a ...
Ralf Rantzau, Christoph Mangold
SDM
2009
SIAM
140views Data Mining» more  SDM 2009»
14 years 6 months ago
Straightforward Feature Selection for Scalable Latent Semantic Indexing.
Latent Semantic Indexing (LSI) has been validated to be effective on many small scale text collections. However, little evidence has shown its effectiveness on unsampled large sca...
Jun Yan, Shuicheng Yan, Ning Liu, Zheng Chen
GRAPHITE
2007
ACM
14 years 27 days ago
Anna Ursyn
This review tells about the International Conference on Information Visualization that is held annually in London, England. Themes selected from the Conference Proceedings are foc...
Anna Ursyn
CORR
2008
Springer
92views Education» more  CORR 2008»
13 years 9 months ago
Nonnegative Matrix Factorization via Rank-One Downdate
Nonnegative matrix factorization (NMF) was popularized as a tool for data mining by Lee and Seung in 1999. NMF attempts to approximate a matrix with nonnegative entries by a produ...
Michael Biggs, Ali Ghodsi, Stephen A. Vavasis