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» A Partial-Repeatability Approach to Data Mining
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PAKDD
2009
ACM
171views Data Mining» more  PAKDD 2009»
15 years 9 months ago
Detecting Abnormal Events via Hierarchical Dirichlet Processes
Abstract. Detecting abnormal event from video sequences is an important problem in computer vision and pattern recognition and a large number of algorithms have been devised to tac...
Xian-Xing Zhang, Hua Liu, Yang Gao, Derek Hao Hu
PAKDD
2010
ACM
193views Data Mining» more  PAKDD 2010»
15 years 2 months ago
As Time Goes by: Discovering Eras in Evolving Social Networks
Abstract. Within the large body of research in complex network analysis, an important topic is the temporal evolution of networks. Existing approaches aim at analyzing the evolutio...
Michele Berlingerio, Michele Coscia, Fosca Giannot...
ICDM
2010
IEEE
235views Data Mining» more  ICDM 2010»
15 years 1 months ago
Content-Based Methods for Predicting Web-Site Demographic Attributes
Demographic information plays an important role in gaining valuable insights about a web-site's user-base and is used extensively to target online advertisements and promotion...
Santosh Kabbur, Eui-Hong Han, George Karypis
PAKDD
2010
ACM
134views Data Mining» more  PAKDD 2010»
15 years 6 months ago
A Robust Seedless Algorithm for Correlation Clustering
Abstract. Finding correlation clusters in the arbitrary subspaces of highdimensional data is an important and a challenging research problem. The current state-of-the-art correlati...
Mohammad S. Aziz, Chandan K. Reddy
KDD
1997
ACM
154views Data Mining» more  KDD 1997»
15 years 8 months ago
Autonomous Discovery of Reliable Exception Rules
This paper presents an autonomous algorithm for discovering exception rules from data sets. An exception rule, which is defined as a deviational pattern to a well-known fact, exhi...
Einoshin Suzuki