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EMS
2008
IEEE
16 years 29 days ago
A Weighted Utility Framework for Mining Association Rules
Association rule mining (ARM) identifies frequent itemsets from databases and generates association rules by assuming that all items have the same significance and frequency of oc...
M. Sulaiman Khan, Maybin K. Muyeba, Frans Coenen
ICDM
2008
IEEE
102views Data Mining» more  ICDM 2008»
16 years 28 days ago
Mining Order-Preserving Submatrices from Data with Repeated Measurements
Order-preserving submatrices (OPSM’s) have been shown useful in capturing concurrent patterns in data when the relative magnitudes of data items are more important than their ab...
Chun Kit Chui, Ben Kao, Kevin Y. Yip, Sau Dan Lee
AINA
2006
IEEE
16 years 17 days ago
Peer-to-Peer Usage Analysis: a Distributed Mining Approach
With the huge number of information sources available on the Internet, Peer-to-Peer (P2P) systems offer a novel kind of system architecture providing the large-scale community wit...
Florent Masseglia, Pascal Poncelet, Maguelonne Tei...
ICDM
2006
IEEE
134views Data Mining» more  ICDM 2006»
16 years 16 days ago
Fast Frequent Free Tree Mining in Graph Databases
Free tree, as a special graph which is connected, undirected and acyclic, is extensively used in domains such as computational biology, pattern recognition, computer networks, XML...
Peixiang Zhao, Jeffrey Xu Yu
RIDE
1997
IEEE
15 years 10 months ago
Evaluation of Sampling for Data Mining of Association Rules
Discovery of association rules is a prototypical problem in data mining. The current algorithms proposed for data mining of association rules make repeated passes over the databas...
Mohammed Javeed Zaki, Srinivasan Parthasarathy, We...