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ECAI
2004
Springer
15 years 3 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
LAWEB
2003
IEEE
15 years 3 months 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...
CORR
2010
Springer
173views Education» more  CORR 2010»
14 years 7 months ago
Mining Multi-Level Frequent Itemsets under Constraints
Mining association rules is a task of data mining, which extracts knowledge in the form of significant implication relation of useful items (objects) from a database. Mining multi...
Mohamed Salah Gouider, Amine Farhat
MIE
2008
112views Healthcare» more  MIE 2008»
14 years 11 months ago
Mining Knowledge from Corpora: an Application to Retrieval and Indexing
The present work aims at discovering new associations between medical concepts to be exploited as input in retrieval and indexing. Material and Methods: Association rules method is...
Lina Fatima Soualmia, Badisse Dahamna, Stéf...
KDD
1998
ACM
147views Data Mining» more  KDD 1998»
15 years 2 months ago
ADtrees for Fast Counting and for Fast Learning of Association Rules
Abstract: The problem of discovering association rules in large databases has received considerable research attention. Much research has examined the exhaustive discovery of all a...
Brigham S. Anderson, Andrew W. Moore