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Association rule learning
Known as:
One-attribute rule
, Rule discovery
, OneR
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Association rule learning is a method for discovering interesting relations between variables in large databases. It is intended to identify strong…
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Related topics
Related topics
28 relations
Affinity analysis
Anomaly detection
Apriori algorithm
Bioinformatics
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Broader (1)
Data mining
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
Temporal representation for mining scientific data provenance
Peng Chen
,
Beth Plale
,
M. Aktaş
Future generations computer systems
2014
Corpus ID: 36876406
Highly Cited
2010
Highly Cited
2010
An integration of WordNet and fuzzy association rule mining for multi-label document clustering
Chun-Ling Chen
,
F. S. Tseng
,
Tyne Liang
Data & Knowledge Engineering
2010
Corpus ID: 21441233
Highly Cited
2006
Highly Cited
2006
Class Association Rule Mining with Chi-Squared Test Using Genetic Network Programming
K. Shimada
,
K. Hirasawa
,
Jinglu Hu
IEEE International Conference on Systems, Man and…
2006
Corpus ID: 3144327
An efficient algorithm for important class association rule mining using genetic network programming (GNP) is proposed. GNP is…
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Highly Cited
2005
Highly Cited
2005
Genetic Network Programming with Acquisition Mechanisms of Association Rules in Dense Database
K. Shimada
,
K. Hirasawa
,
Jinglu Hu
International Conference on Computational…
2005
Corpus ID: 8516559
A method of association rule mining using genetic network programming (GNP) is proposed to improve the performance of association…
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Highly Cited
2005
Highly Cited
2005
Mining changes in association rules: a fuzzy approach
Wai-Ho Au
,
Keith C. C. Chan
Fuzzy Sets Syst.
2005
Corpus ID: 17845776
Highly Cited
2004
Highly Cited
2004
An intelligent recommender system using sequential Web access patterns
Baoyao Zhou
,
S. Hui
,
Kuiyu Chang
International Conference on Computational…
2004
Corpus ID: 15456241
To provide intelligent personalized online services such as Web recommendations, it is usually necessary to model users' Web…
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Highly Cited
2003
Highly Cited
2003
Extracting association rules from XML documents using XQuery
Jacky W. W. Wan
,
G. Dobbie
ACM International Workshop on Web Information and…
2003
Corpus ID: 18398880
Data mining is generally considered the extraction and analysis of information from databases. With the rapid growth of XML data…
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Highly Cited
2003
Highly Cited
2003
On Addressing Efficiency Concerns in Privacy-Preserving Mining
Shipra Agrawal
,
Vijay Krishnan
,
J. Haritsa
International Conference on Database Systems for…
2003
Corpus ID: 2778268
Data mining services require accurate input data for their results to be meaningful, but privacy concerns may influence users to…
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Highly Cited
2002
Highly Cited
2002
Mining negative association rules
Xiaohui Yuan
,
B. Buckles
,
Zhaoshan Yuan
,
Jian Zhang
Proceedings ISCC Seventh International Symposium…
2002
Corpus ID: 14586757
The focus of this paper is the discovery of negative association rules. Such association rules are complementary to the sorts of…
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Highly Cited
1999
Highly Cited
1999
FARM: a data mining system for discovering fuzzy association rules
Wai-Ho Au
,
K.C.C. Chan
FUZZ-IEEE'99. IEEE International Fuzzy Systems…
1999
Corpus ID: 10183908
In this paper, we introduce a novel technique, called FARM, for mining fuzzy association rules. FARM employs linguistic terms to…
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