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ESWA
2007
127views more  ESWA 2007»
15 years 1 months ago
An anticipation model of potential customers' purchasing behavior based on clustering analysis and association rules analysis
This paper proposes an anticipation model of potential customers’ purchasing behavior. This model is inferred from past purchasing behavior of loyal customers and the web server...
Horng-Jinh Chang, Lun-Ping Hung, Chia-Ling Ho
ICDM
2009
IEEE
124views Data Mining» more  ICDM 2009»
15 years 8 months ago
On the (In)Security and (Im)Practicality of Outsourcing Precise Association Rule Mining
—The recent interest in outsourcing IT services onto the cloud raises two main concerns: security and cost. One task that could be outsourced is data mining. In VLDB 2007, Wong e...
Ian Molloy, Ninghui Li, Tiancheng Li
ICDM
2002
IEEE
108views Data Mining» more  ICDM 2002»
15 years 6 months ago
Mining Association Rules from Stars
Association rule mining is an important data mining problem. It is found to be useful for conventional relational data. However, previous work has mostly targeted on mining a sing...
Eric Ka Ka Ng, Ada Wai-Chee Fu, Ke Wang
DAWAK
2004
Springer
15 years 5 months ago
PROWL: An Efficient Frequent continuity Mining Algorithm on Event Sequences
Mining association rule in event sequences is an important data mining problem with many applications. Most of previous studies on association rules are on mining intra-transaction...
Kuo-Yu Huang, Chia-Hui Chang, Kuo-Zui Lin
JASIS
2008
76views more  JASIS 2008»
15 years 1 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