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» Crime Pattern Detection Using Data Mining
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ICDM
2008
IEEE
146views Data Mining» more  ICDM 2008»
15 years 4 months ago
Isolation Forest
Most existing model-based approaches to anomaly detection construct a profile of normal instances, then identify instances that do not conform to the normal profile as anomalies...
Fei Tony Liu, Kai Ming Ting, Zhi-Hua Zhou
SDM
2010
SIAM
165views Data Mining» more  SDM 2010»
14 years 11 months ago
Direct Density Ratio Estimation with Dimensionality Reduction
Methods for directly estimating the ratio of two probability density functions without going through density estimation have been actively explored recently since they can be used...
Masashi Sugiyama, Satoshi Hara, Paul von Büna...
ICDM
2010
IEEE
202views Data Mining» more  ICDM 2010»
14 years 7 months ago
Discovering Overlapping Groups in Social Media
Abstract--The increasing popularity of social media is shortening the distance between people. Social activities, e.g., tagging in Flickr, bookmarking in Delicious, twittering in T...
Xufei Wang, Lei Tang, Huiji Gao, Huan Liu
CIKM
2009
Springer
15 years 2 months ago
Probabilistic models for topic learning from images and captions in online biomedical literatures
Biomedical images and captions are one of the major sources of information in online biomedical publications. They often contain the most important results to be reported, and pro...
Xin Chen, Caimei Lu, Yuan An, Palakorn Achananupar...
PKDD
1999
Springer
106views Data Mining» more  PKDD 1999»
15 years 2 months ago
Heuristic Measures of Interestingness
When mining a large database, the number of patterns discovered can easily exceed the capabilities of a human user to identify interesting results. To address this problem, variou...
Robert J. Hilderman, Howard J. Hamilton