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» An Associative Memory for Association Rule Mining
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ECAI
2004
Springer
14 years 1 months ago
Exploiting Association and Correlation Rules - Parameters for Improving the K2 Algorithm
A Bayesian network is an appropriate tool to deal with the uncertainty that is typical of real-life applications. Bayesian network arcs represent statistical dependence between dif...
Evelina Lamma, Fabrizio Riguzzi, Sergio Storari
PAKDD
2005
ACM
128views Data Mining» more  PAKDD 2005»
14 years 1 months ago
A Two-Phase Algorithm for Fast Discovery of High Utility Itemsets
Traditional association rules mining cannot meet the demands arising from some real applications. By considering the different values of individual items as utilities, utility mini...
Ying Liu, Wei-keng Liao, Alok N. Choudhary
ICCS
2003
Springer
14 years 27 days ago
A Compress-Based Association Mining Algorithm for Large Dataset
The association mining is one of the primary sub-areas in the field of data mining. This technique had been used in numerous practical applications, including consumer market baske...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
LAWEB
2003
IEEE
14 years 29 days ago
Using Association Rules to Discover Search Engines Related Queries
This work presents a method for automatic generate suggestions of related queries submitted to Web search engines. The method extracts information from the log of past submitted q...
Bruno M. Fonseca, Paulo Braz Golgher, Edleno Silva...
DAWAK
2006
Springer
13 years 11 months ago
Efficient Mining of Dissociation Rules
Abstract. Association rule mining is one of the most popular data mining techniques. Significant work has been done to extend the basic association rule framework to allow for mini...
Mikolaj Morzy