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JASIS
2008
76views more  JASIS 2008»
13 years 7 months ago
Using importance flooding to identify interesting networks of criminal activity
Abstract. In spite of policy concerns and high costs, the law enforcement community is investing heavily in data sharing initiatives. Cross-jurisdictional criminal justice informat...
Byron Marshall, Hsinchun Chen, Siddharth Kaza
IDEAL
2003
Springer
14 years 1 months ago
Experiences of Using a Quantitative Approach for Mining Association Rules
In recent years interest has grown in “mining” large databases to extract novel and interesting information. Knowledge Discovery in Databases (KDD) has been recognised as an em...
L. Dong, Christos Tjortjis
SAC
2004
ACM
14 years 1 months ago
Mining dependence rules by finding largest itemset support quota
In the paper a new data mining algorithm for finding the most interesting dependence rules is described. Dependence rules are derived from the itemsets with support significantly ...
Alexandr A. Savinov
CIKM
2009
Springer
14 years 15 days ago
A novel approach for privacy mining of generic basic association rules
Data mining can extract important knowledge from large data collections - but sometimes these collections are split among various parties. Privacy concerns may prevent the parties...
Moez Waddey, Pascal Poncelet, Sadok Ben Yahia
WEBNET
2000
13 years 9 months ago
Mining the Most Interesting Web Access Associations
: Web access patterns can provide valuable information for website designers in making website-based communication more efficient. To extract interesting or useful web access patte...
Li Shen, Ling Cheng, James Ford, Fillia Makedon, V...