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DAWAK
2003
Springer
14 years 1 months ago
Using an Interest Ontology for Improved Support in Rule Mining
Abstract. This paper describes the use of a concept hierarchy for improving the results of association rule mining. Given a large set of tuples with demographic information and per...
Xiaoming Chen, Xuan Zhou, Richard B. Scherl, James...
SAC
2010
ACM
14 years 2 months ago
Hypothesis generation and ranking based on event similarities
Accelerated by the technological advances in the domain, the size of the biomedical literature has been growing rapidly. As a result, it is not feasible for individual researchers...
Taiki Miyanishi, Kazuhiro Seki, Kuniaki Uehara
KDD
1998
ACM
147views Data Mining» more  KDD 1998»
14 years 20 hour ago
ADtrees for Fast Counting and for Fast Learning of Association Rules
Abstract: The problem of discovering association rules in large databases has received considerable research attention. Much research has examined the exhaustive discovery of all a...
Brigham S. Anderson, Andrew W. Moore
AAI
2007
132views more  AAI 2007»
13 years 8 months ago
Incremental Extraction of Association Rules in Applicative Domains
In recent years, the KDD process has been advocated to be an iterative and interactive process. It is seldom the case that a user is able to answer immediately with a single query...
Arianna Gallo, Roberto Esposito, Rosa Meo, Marco B...
PKDD
2007
Springer
112views Data Mining» more  PKDD 2007»
14 years 1 months ago
Association Mining in Large Databases: A Re-examination of Its Measures
Abstract. In the literature of data mining and statistics, numerous interestingness measures have been proposed to disclose succinct object relationships of association patterns. H...
Tianyi Wu, Yuguo Chen, Jiawei Han