Sciweavers

257 search results - page 18 / 52
» Mining Large Itemsets for Association Rules
Sort
View
KDD
2002
ACM
128views Data Mining» more  KDD 2002»
14 years 11 months ago
Privacy preserving mining of association rules
We present a framework for mining association rules from transactions consisting of categorical items where the data has been randomized to preserve privacy of individual transact...
Alexandre V. Evfimievski, Ramakrishnan Srikant, Ra...
KDD
2001
ACM
216views Data Mining» more  KDD 2001»
14 years 11 months ago
Real world performance of association rule algorithms
This study compares five well-known association rule algorithms using three real-world datasets and an artificial dataset. The experimental results confirm the performance improve...
Zijian Zheng, Ron Kohavi, Llew Mason
SDM
2009
SIAM
143views Data Mining» more  SDM 2009»
14 years 8 months ago
Finding Representative Association Rules from Large Rule Collections.
One of the most well-studied problems in data mining is computing association rules from large transactional databases. Often, the rule collections extracted from existing datamin...
Warren L. Davis IV, Peter Schwarz, Evimaria Terzi
CINQ
2004
Springer
125views Database» more  CINQ 2004»
14 years 4 months ago
Deducing Bounds on the Support of Itemsets
Mining Frequent Itemsets is the core operation of many data mining algorithms. This operation however, is very data intensive and sometimes produces a prohibitively large output. I...
Toon Calders
SIGMOD
1996
ACM
110views Database» more  SIGMOD 1996»
14 years 3 months ago
Mining Quantitative Association Rules in Large Relational Tables
We introduce the problem of mining association rules in large relational tables containing both quantitative and categorical attributes. An example of such an association might be...
Ramakrishnan Srikant, Rakesh Agrawal