Association rule learning

Known as: One-attribute rule, Rule discovery, OneR 
Association rule learning is a method for discovering interesting relations between variables in large databases. It is intended to identify strong… (More)
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Papers overview

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Highly Cited
2013
Highly Cited
2013
In Data Mining, the usefulness of association rules is strongly limited by the huge amount of delivered rules. To overcome this… (More)
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Highly Cited
2004
Highly Cited
2004
Large repositories of data contain sensitive information that must be protected against unauthorized access. The protection of… (More)
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Highly Cited
2003
Highly Cited
2003
Recent studies in data mining have proposed a new classification approach, called associative classification, which, according to… (More)
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Highly Cited
1998
Highly Cited
1998
Classification rule mining aims to discover a small set of rules in the database that forms an accurate classifier. Association… (More)
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Highly Cited
1997
Highly Cited
1997
One of the most well-studied problems in data mining is mining for association rules in market basket data. Association rules… (More)
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Highly Cited
1996
Highly Cited
1996
We introduce the problem of mining association rules in large relational tables containing both quantitative and categorical… (More)
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Highly Cited
1996
Highly Cited
1996
Discovery of association rules is an important database mining problem. Current algorithms for nding association rules require… (More)
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Highly Cited
1995
Highly Cited
1995
Discovery of association rules from large databases has been a focused topic recently in the research into database mining… (More)
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Highly Cited
1994
Highly Cited
1994
Association rules, introduced by Agrawal, Imielinski, and Swami, are rules of the form “for 90% of the rows of the relation, if… (More)
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Highly Cited
1994
Highly Cited
1994
Association rules are statements of the form \for 90 % of the rows of the relation, if the row has value 1 in the columns in set… (More)
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