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» Evaluation of Sampling for Data Mining of Association Rules
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PAKDD
2004
ACM
119views Data Mining» more  PAKDD 2004»
14 years 1 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
BIRD
2007
Springer
154views Bioinformatics» more  BIRD 2007»
14 years 2 months ago
Mining Spatial Gene Expression Data for Association Rules
Abstract. We analyse data from the Edinburgh Mouse Atlas GeneExpression Database (EMAGE) which is a high quality data source for spatio-temporal gene expression patterns. Using a n...
Jano I. van Hemert, Richard A. Baldock
NBIS
2010
Springer
13 years 6 months ago
Mining Association Rules Consisting of Download Servers from Distributed Honeypot Observation
This paper aims to find interested association rules, known as data mining technique, out of the dataset of downloading logs by focusing on the coordinated activity among downloadi...
Masayuki Ohrui, Hiroaki Kikuchi, Masato Terada
SDM
2004
SIAM
163views Data Mining» more  SDM 2004»
13 years 9 months ago
Basic Association Rules
Previous approaches for mining association rules generate large sets of association rules. Such sets are difficult for users to understand and manage. Here, the concept of a restri...
Guichong Li, Howard J. Hamilton
BMCBI
2005
116views more  BMCBI 2005»
13 years 8 months ago
Automating Genomic Data Mining via a Sequence-based Matrix Format and Associative Rule Set
There is an enormous amount of information encoded in each genome
Jonathan D. Wren, David Johnson, Le Gruenwald