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KDD
1997
ACM
159views Data Mining» more  KDD 1997»
13 years 8 months ago
New Algorithms for Fast Discovery of Association Rules
Discovery of association rules is an important problem in database mining. In this paper we present new algorithms for fast association mining, which scan the database only once, ...
Mohammed Javeed Zaki, Srinivasan Parthasarathy, Mi...
BNCOD
2003
127views Database» more  BNCOD 2003»
13 years 6 months ago
Performance Evaluation and Analysis of K-Way Join Variants for Association Rule Mining
Data mining aims at discovering important and previously unknown patterns from the dataset in the underlying database. Database mining performs mining directly on data stored in r...
P. Mishra, Sharma Chakravarthy
SDM
2009
SIAM
143views Data Mining» more  SDM 2009»
14 years 2 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
KDD
1997
ACM
122views Data Mining» more  KDD 1997»
13 years 9 months ago
Computing Optimized Rectilinear Regions for Association Rules
We address the problem of nding useful regions for two-dimensional association rules and decision trees. In a previous paper we presented ecient algorithms for computing optimiz...
Kunikazu Yoda, Takeshi Fukuda, Yasuhiko Morimoto, ...
VLDB
1998
ACM
127views Database» more  VLDB 1998»
13 years 9 months ago
Algorithms for Mining Association Rules for Binary Segmentations of Huge Categorical Databases
We consider the problem of finding association rules that make nearly optimal binary segmentations of huge categorical databases. The optimality of segmentation is defined by an o...
Yasuhiko Morimoto, Takeshi Fukuda, Hirofumi Matsuz...