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KDD
2012
ACM
178views Data Mining» more  KDD 2012»
13 years 9 months ago
Mining emerging patterns by streaming feature selection
Building an accurate emerging pattern classifier with a highdimensional dataset is a challenging issue. The problem becomes even more difficult if the whole feature space is unava...
Kui Yu, Wei Ding 0003, Dan A. Simovici, Xindong Wu
ICDIM
2010
IEEE
15 years 4 months ago
Data mining and automatic OLAP schema generation
Data mining aims at extraction of previously unidentified information from large databases. It can be viewed as an automated application of algorithms to discover hidden patterns a...
Muhammad Usman, Sohail Asghar, Simon Fong
SIGMOD
2008
ACM
215views Database» more  SIGMOD 2008»
16 years 6 months ago
CSV: visualizing and mining cohesive subgraphs
Extracting dense sub-components from graphs efficiently is an important objective in a wide range of application domains ranging from social network analysis to biological network...
Nan Wang, Srinivasan Parthasarathy, Kian-Lee Tan, ...
KDD
2003
ACM
161views Data Mining» more  KDD 2003»
16 years 7 months ago
Eliminating noisy information in Web pages for data mining
A commercial Web page typically contains many information blocks. Apart from the main content blocks, it usually has such blocks as navigation panels, copyright and privacy notice...
Lan Yi, Bing Liu, Xiaoli Li
KDD
2010
ACM
253views Data Mining» more  KDD 2010»
15 years 10 months ago
Mining periodic behaviors for moving objects
Periodicity is a frequently happening phenomenon for moving objects. Finding periodic behaviors is essential to understanding object movements. However, periodic behaviors could b...
Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays, P...