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» Efficient Discovery of Confounders in Large Data Sets
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ICIP
2003
IEEE
16 years 7 months ago
Feature selection for unsupervised discovery of statistical temporal structures in video
We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...
Lexing Xie, Shih-Fu Chang, Ajay Divakaran, Huifang...
KDD
1995
ACM
167views Data Mining» more  KDD 1995»
15 years 9 months ago
Efficient Algorithms for Attribute-Oriented Induction
Data mining or knowledge discovery in databasesis the search for relationships and global patterns that exist but are hidden in large databases.Many different methodshave been pro...
Hoi-Yee Hwang, Ada Wai-Chee Fu
CIDR
2009
141views Algorithms» more  CIDR 2009»
15 years 7 months ago
Sailing the Information Ocean with Awareness of Currents: Discovery and Application of Source Dependence
The Web has enabled the availability of a huge amount of useful information, but has also eased the ability to spread false information and rumors across multiple sources, making ...
Laure Berti-Equille, Anish Das Sarma, Xin Dong, Am...
WWW
2009
ACM
16 years 6 months ago
Collaborative filtering for orkut communities: discovery of user latent behavior
Users of social networking services can connect with each other by forming communities for online interaction. Yet as the number of communities hosted by such websites grows over ...
WenYen Chen, Jon-Chyuan Chu, Junyi Luan, Hongjie B...
TFS
2011
242views Education» more  TFS 2011»
15 years 1 months ago
Linguistic Summarization Using IF-THEN Rules and Interval Type-2 Fuzzy Sets
—Linguistic summarization (LS) is a data mining or knowledge discovery approach to extract patterns from databases. Many authors have used this technique to generate summaries li...
Dongrui Wu, Jerry M. Mendel