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» Selective association rule generation
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ACSW
2004
15 years 3 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
DEXA
2006
Springer
129views Database» more  DEXA 2006»
15 years 5 months ago
Selectively Storing XML Data in Relations
This paper presents a new framework for users to select relevant data from an XML document and store it in an existing relational database, as opposed to previous approaches that s...
Wenfei Fan, Lisha Ma
FLAIRS
2003
15 years 3 months ago
An Improved Algorithm for Mining Association Rules Using Multiple Support Values
Almost all the approaches in association rule mining suggested the use of a single minimum support, technique that either rules out all infrequent itemsets or suffers from the bot...
Ioannis N. Kouris, Christos Makris, Athanasios K. ...
BIBE
2009
IEEE
210views Bioinformatics» more  BIBE 2009»
15 years 8 months ago
Analysis of Autism Prevalence and Neurotoxins Using Combinatorial Fusion and Association Rule Mining
- The increase in autism prevalence has been the motivation for much research which has produced various theories for its causation. Genetic and environmental factors have been inv...
Christina Schweikert, Yanjun Li, David Dayya, Davi...
BIBM
2007
IEEE
171views Bioinformatics» more  BIBM 2007»
15 years 8 months ago
GenMiner: Mining Informative Association Rules from Genomic Data
GENMINER is a smart adaptation of closed itemsets based association rules extraction to genomic data. It takes advantage of the novel NORDI discretization method and of the CLOSE ...
Ricardo Martínez, Claude Pasquier, Nicolas ...