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» Crime Data Mining: A General Framework and Some Examples
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KDD
2005
ACM
91views Data Mining» more  KDD 2005»
14 years 7 months ago
On mining cross-graph quasi-cliques
Joint mining of multiple data sets can often discover interesting, novel, and reliable patterns which cannot be obtained solely from any single source. For example, in cross-marke...
Jian Pei, Daxin Jiang, Aidong Zhang
CIKM
2005
Springer
14 years 28 days ago
Opportunity map: a visualization framework for fast identification of actionable knowledge
Data mining techniques frequently find a large number of patterns or rules, which make it very difficult for a human analyst to interpret the results and to find the truly interes...
Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Weimin Xia...
ICDM
2010
IEEE
185views Data Mining» more  ICDM 2010»
13 years 5 months ago
Detecting Non-compliant Consumers in Spatio-Temporal Health Data: A Case Study from Medicare Australia
This paper describes our experience with applying data mining techniques to the problem of fraud detection in spatio-temporal health data in Medicare Australia. A modular framework...
Kee Siong Ng, Yin Shan, D. Wayne Murray, Alison Su...
ADMI
2009
Springer
14 years 2 months ago
Towards Cooperative Predictive Data Mining in Competitive Environments
Abstract. We study the problem of predictive data mining in the competitive multi-agent setting, in which each agent is assumed to have some partial knowledge needed for correctly ...
Viliam Lisý, Michal Jakob, Petr Benda, Step...
PKDD
2007
Springer
102views Data Mining» more  PKDD 2007»
14 years 1 months ago
Towards Data Mining Without Information on Knowledge Structure
Most knowledge discovery processes are biased since some part of the knowledge structure must be given before extraction. We propose a framework that avoids this bias by supporting...
Alexandre Vautier, Marie-Odile Cordier, Rene Quini...