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VLDB
1998
ACM
127views Database» more  VLDB 1998»
15 years 2 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...
ICCBR
2003
Springer
15 years 3 months ago
Case Mining from Large Databases
Abstract. This paper presents an approach of case mining to automatically discover case bases from large datasets in order to improve both the speed and the quality of case based r...
Qiang Yang, Hong Cheng
ACSW
2004
14 years 11 months ago
Experiences in Building a Tool for Navigating Association Rule Result Sets
Practical knowledge discovery is an iterative process. First, the experiences gained from one mining run are used to inform the parameter setting and the dataset and attribute sel...
Peter Fule, John F. Roddick
KER
2006
107views more  KER 2006»
14 years 9 months ago
Partitioning strategies for distributed association rule mining
In this paper a number of alternative strategies for distributed/parallel association rule mining are investigated. The methods examined make use of a data structure, the T-tree, ...
Frans Coenen, Paul H. Leng
FPL
2008
Springer
122views Hardware» more  FPL 2008»
14 years 11 months ago
Mining Association Rules with systolic trees
Association Rules Mining (ARM) algorithms are designed to find sets of frequently occurring items in large databases. ARM applications have found their way into a variety of field...
Song Sun, Joseph Zambreno