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KDD
2009
ACM
611views Data Mining» more  KDD 2009»
16 years 8 months ago
Fast approximate spectral clustering
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
Donghui Yan, Ling Huang, Michael I. Jordan
PODS
2009
ACM
86views Database» more  PODS 2009»
16 years 8 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
2007
ACM
177views Data Mining» more  KDD 2007»
16 years 8 months ago
On-board analysis of uncalibrated data for a spacecraft at mars
Analyzing data on-board a spacecraft as it is collected enables several advanced spacecraft capabilities, such as prioritizing observations to make the best use of limited bandwid...
Benyang Tang, Kiri Wagstaff, Rebecca Castañ...
209
Voted
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 8 months ago
Local decomposition for rare class analysis
Given its importance, the problem of predicting rare classes in large-scale multi-labeled data sets has attracted great attentions in the literature. However, the rare-class probl...
Junjie Wu, Hui Xiong, Peng Wu, Jian Chen
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
16 years 8 months ago
Web usage mining based on probabilistic latent semantic analysis
The primary goal of Web usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of user sessions and discoveri...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
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