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PAKDD
2004
ACM
119views Data Mining» more  PAKDD 2004»
15 years 2 months ago
Mining Negative Rules Using GRD
GRD is an algorithm for k-most interesting rule discovery. In contrast to association rule discovery, GRD does not require the use of a minimum support constraint. Rather, the user...
Dhananjay R. Thiruvady, Geoffrey I. Webb
83
Voted
IDEAL
2004
Springer
15 years 2 months ago
A Framework for Mining Association Rules in Data Warehouses
The effort of data mining, especially in relation to association rules in real world business applications, is significantly important. Recently, association rules algorithms have ...
Haorianto Cokrowijoyo Tjioe, David Taniar
KDD
2003
ACM
175views Data Mining» more  KDD 2003»
15 years 10 months ago
Weighted Association Rule Mining using weighted support and significance framework
We address the issues of discovering significant binary relationships in transaction datasets in a weighted setting. Traditional model of association rule mining is adapted to han...
Feng Tao, Fionn Murtagh, Mohsen Farid
100
Voted
COMPSAC
2006
IEEE
15 years 3 months ago
Data Structure and Algorithm in Data Mining: Granular Computing View
This paper discusses foundations of conventional style of rule mining in which rules are extracted from a data table. Rule mining mainly uses the structure of a table, data partit...
Shusaku Tsumoto
AI
2003
Springer
15 years 2 months ago
Explanation-Oriented Association Mining Using a Combination of Unsupervised and Supervised Learning Algorithms
We propose a new framework of explanation-oriented data mining by adding an explanation construction and evaluation phase to the data mining process. While traditional approaches c...
Yiyu Yao, Yan Zhao, R. Brien Maguire