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» Crime Pattern Detection Using Data Mining
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ICDM
2007
IEEE
150views Data Mining» more  ICDM 2007»
15 years 8 months ago
Connections between Mining Frequent Itemsets and Learning Generative Models
Frequent itemsets mining is a popular framework for pattern discovery. In this framework, given a database of customer transactions, the task is to unearth all patterns in the for...
Srivatsan Laxman, Prasad Naldurg, Raja Sripada, Ra...
RSFDGRC
2005
Springer
112views Data Mining» more  RSFDGRC 2005»
15 years 8 months ago
Discovering Characteristic Individual Accessing Behaviors in Web Environment
Abstract. Discovering diverse individual accessing behaviors in web environment is required before mining the valuable patterns from behaviors of groups of visitors. In this paper,...
Long Wang 0002, Christoph Meinel, Chunnian Liu
123
Voted
ICDM
2006
IEEE
139views Data Mining» more  ICDM 2006»
15 years 8 months ago
Privacy Preserving Nearest Neighbor Search
Data mining is frequently obstructed by privacy concerns. In many cases data is distributed, and bringing the data together in one place for analysis is not possible due to privac...
Mark Shaneck, Yongdae Kim, Vipin Kumar
ICPR
2008
IEEE
15 years 9 months ago
Three related types of multi-value association patterns
Mining patterns involving multiple values that are significantly relevant is a difficult but very important problem that crosses many disciplines. Multi-value association patterns...
Thomas W. H. Lui, David K. Y. Chiu
145
Voted
KAIS
2008
150views more  KAIS 2008»
15 years 2 months ago
A survey on algorithms for mining frequent itemsets over data streams
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
James Cheng, Yiping Ke, Wilfred Ng