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» Crime Pattern Detection Using Data Mining
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KDD
2005
ACM
218views Data Mining» more  KDD 2005»
16 years 6 months ago
A maximum entropy web recommendation system: combining collaborative and content features
Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
ISBI
2006
IEEE
16 years 7 months ago
Improved comparison of protein subcellular location patterns
* A common task in cell and molecular biology is to evaluate the difference or similarity among location patterns under different circumstances. Our previous work has described an...
Ting Zhao, Stalia Soto, Robert F. Murphy
DMIN
2009
119views Data Mining» more  DMIN 2009»
15 years 4 months ago
Abnormal Process State Detection by Cluster Center Point Monitoring in BWR Nuclear Power Plant
This paper proposes a new method to detect abnormal process state. The method is based on cluster center point monitoring in time and is demonstrated in its application to data fro...
Jaakko Talonen, Miki Sirola
PKDD
2005
Springer
101views Data Mining» more  PKDD 2005»
15 years 12 months ago
A Random Method for Quantifying Changing Distributions in Data Streams
In applications such as fraud and intrusion detection, it is of great interest to measure the evolving trends in the data. We consider the problem of quantifying changes between tw...
Haixun Wang, Jian Pei
KDD
2001
ACM
142views Data Mining» more  KDD 2001»
16 years 6 months ago
TreeDT: gene mapping by tree disequilibrium test
We introduce and evaluate TreeDT, a novel gene mapping method which is based on discovering and assessing tree-like patterns in genetic marker data. Gene mapping aims at discoveri...
Petteri Sevon, Hannu Toivonen, Vesa Ollikainen