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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.
Highly Cited
2010
Highly Cited
2010
Mining fuzzy frequent itemsets for hierarchical document clustering
Chun-Ling Chen
,
F. S. Tseng
,
Tyne Liang
Information Processing & Management
2010
Corpus ID: 15763857
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
2007
Highly Cited
2007
Mining spatial association rules in image databases
Anthony J. T. Lee
,
R. Hong
,
Wei-Min Ko
,
Wen-Kwang Tsao
,
Hsiu-Hui Lin
Information Sciences
2007
Corpus ID: 8630028
Highly Cited
2006
Highly Cited
2006
CFI-Stream: mining closed frequent itemsets in data streams
Nan Jiang
,
L. Gruenwald
Knowledge Discovery and Data Mining
2006
Corpus ID: 11209609
Mining frequent closed itemsets provides complete and condensed information for non-redundant association rules generation…
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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
2004
Highly Cited
2004
nonordfp: An FP-growth variation without rebuilding the FP-tree
B. Rácz
Workshop on Frequent Itemset Mining…
2004
Corpus ID: 13045660
We describe a frequent itemset mining algorithm and implementation based on the well-known algorithm FPgrowth. The theoretical…
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Highly Cited
2003
Highly Cited
2003
Mining Customer Value: From Association Rules to Direct Marketing
Ke Wang
,
Senqiang Zhou
,
Qiang Yang
,
J. Yeung
Proceedings / International Conference on Data…
2003
Corpus ID: 1368387
Direct marketing is a modern business activity with an aim to maximize the profit generated from marketing to a selected group of…
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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
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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