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» Introduction to Data Mining and Knowledge Discovery
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SIGMOD
2003
ACM
121views Database» more  SIGMOD 2003»
14 years 7 months ago
An environmental sensor network to determine drinking water quality and security
Finding patterns in large, real, spatio/temporal data continues to attract high interest (e.g., sales of products over space and time, patterns in mobile phone users; sensor netwo...
Anastassia Ailamaki, Christos Faloutsos, Paul S. F...
EOR
2007
96views more  EOR 2007»
13 years 7 months ago
A fast method for discovering critical edge sequences in e-commerce catalogs
Web sites allow the collection of vast amounts of navigational data – clickstreams of user traversals through the site. These massive data stores offer the tantalizing possibil...
Kaushik Dutta, Debra E. VanderMeer, Anindya Datta,...
KDD
2008
ACM
264views Data Mining» more  KDD 2008»
14 years 7 months ago
Stable feature selection via dense feature groups
Many feature selection algorithms have been proposed in the past focusing on improving classification accuracy. In this work, we point out the importance of stable feature selecti...
Lei Yu, Chris H. Q. Ding, Steven Loscalzo
KDD
2007
ACM
154views Data Mining» more  KDD 2007»
14 years 7 months ago
Canonicalization of database records using adaptive similarity measures
It is becoming increasingly common to construct databases from information automatically culled from many heterogeneous sources. For example, a research publication database can b...
Aron Culotta, Michael L. Wick, Robert Hall, Matthe...
IV
2006
IEEE
173views Visualization» more  IV 2006»
14 years 1 months ago
European Research Forum Panel Session Envisioning Research Challenges in Visual Analytics
Visual Analytics is the science of analytical reasoning supported by interactive visual interfaces. People use visual analytics tools and techniques to synthesize information; der...
Mikael Jern, Ebad Banissi, Gennady L. Andrienko, W...