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» Selective association rule generation
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CIKM
2006
Springer
15 years 5 months ago
Matching directories and OWL ontologies with AROMA
This paper presents a simple and adaptable matching method dealing with web directories, catalogs and OWL ontologies. By using a well-known Knowledge Discovery in Databases model,...
Jérôme David, Fabrice Guillet, Henri ...
KDD
1999
ACM
237views Data Mining» more  KDD 1999»
15 years 6 months ago
Using Association Rules for Product Assortment Decisions: A Case Study
It has been claimed that the discovery of association rules is well-suited for applications of market basket analysis to reveal regularities in the purchase behaviour of customers...
Tom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert We...
BMCBI
2010
88views more  BMCBI 2010»
15 years 2 months ago
FastTagger: an efficient algorithm for genome-wide tag SNP selection using multi-marker linkage disequilibrium
Background: Human genome contains millions of common single nucleotide polymorphisms (SNPs) and these SNPs play an important role in understanding the association between genetic ...
Guimei Liu, Yue Wang, Limsoon Wong
ICDM
2003
IEEE
107views Data Mining» more  ICDM 2003»
15 years 7 months ago
Objective and Subjective Algorithms for Grouping Association Rules
We propose two algorithms for grouping and summarizing association rules. The first algorithm recursively groups rules according to the structure of the rules and generates a tre...
Aijun An, Shakil M. Khan, Xiangji Huang
AUSAI
2004
Springer
15 years 5 months ago
Using Classification to Evaluate the Output of Confidence-Based Association Rule Mining
Abstract. Association rule mining is a data mining technique that reveals interesting relationships in a database. Existing approaches employ different parameters to search for int...
Stefan Mutter, Mark Hall, Eibe Frank