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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… 
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Related topics

Related topics

28 relations
Affinity analysisAnomaly detectionApriori algorithmBioinformatics

Broader (1)

Data mining

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2013
Highly Cited
2013
Predicting students' final performance from participation in on-line discussion forums
Highly Cited
2010
Highly Cited
2010
Association Rule for Classification of Type-2 Diabetic Patients
The discovery of knowledge from medical databases is important in order to make effective medical diagnosis. The aim of data… 
Highly Cited
2007
Highly Cited
2007
Data mining with Temporal Abstractions: learning rules from time series
A large volume of research in temporal data mining is focusing on discovering temporal rules from time-stamped data. The majority… 
Highly Cited
2007
Highly Cited
2007
Mining Frequent Itemsets from Uncertain Data
We study the problem of mining frequent itemsets from uncertain data under a probabilistic framework. We consider transactions… 
Highly Cited
2005
Highly Cited
2005
A Two-Phase Algorithm for Fast Discovery of High Utility Itemsets
Traditional association rules mining cannot meet the demands arising from some real applications. By considering the different… 
Highly Cited
2005
Highly Cited
2005
PR-Miner: automatically extracting implicit programming rules and detecting violations in large software code
Programs usually follow many implicit programming rules, most of which are too tedious to be documented by programmers. When… 
Highly Cited
2004
Highly Cited
2004
Efficient mining of both positive and negative association rules
This paper presents an efficient method for mining both positive and negative association rules in databases. The method extends… 
Highly Cited
2002
Highly Cited
2002
Finding Motifs in Time Series
The problem of efficiently locating previously known patterns in a time series database (i.e., query by content) has received… 
Highly Cited
1996
Highly Cited
1996
A fast distributed algorithm for mining association rules
With the existence of many large transaction databases, the huge amounts of data, the high scalability of distributed systems… 
Review
1965
Review
1965
Planning and Control Systems: A Framework for Analysis
Production Planning and Control (PPC) | Two Components of PPCContingency Planning Guide for Federal Information SystemsNHS… 
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