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» Mining association rules from imprecise ordinal data
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COMPSAC
2005
IEEE
15 years 8 months ago
A Novel Method for Protecting Sensitive Knowledge in Association Rules Mining
Discovering frequent patterns from huge amounts of data is one of the most studied problems in data mining. However, some sensitive patterns with security policies may cause a thr...
En Tzu Wang, Guanling Lee, Yu Tzu Lin
SIGMOD
1993
ACM
134views Database» more  SIGMOD 1993»
15 years 10 months ago
Mining Association Rules between Sets of Items in Large Databases
We are given a large database of customer transactions. Each transaction consists of items purchased by a customer in a visit. We present an e cient algorithm that generates all s...
Rakesh Agrawal, Tomasz Imielinski, Arun N. Swami
MIE
2008
112views Healthcare» more  MIE 2008»
15 years 7 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
148views Data Mining» more  KDD 1998»
15 years 10 months ago
Group Bitmap Index: A Structure for Association Rules Retrieval
Discovery of association rules from large databases of item sets is an important data mining problem. Association rules are usually stored in relational databases for future use i...
Tadeusz Morzy, Maciej Zakrzewicz
CORR
2008
Springer
115views Education» more  CORR 2008»
15 years 6 months ago
New probabilistic interest measures for association rules
Mining association rules is an important technique for discovering meaningful patterns in transaction databases. Many different measures of interestingness have been proposed for ...
Michael Hahsler, Kurt Hornik