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Apriori algorithm

Known as: A priori algorithm 
Apriori is an algorithm for frequent item set mining and association rule learning over transactional databases. It proceeds by identifying the… 
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Related topics

Related topics

13 relations
Association rule learningBreadth-first searchDatabaseEntity–attribute–value model

Papers overview

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Highly Cited
2014
Highly Cited
2014
MR-Apriori: Association Rules algorithm based on MapReduce
  • Xueyan Lin
  • IEEE 5th International Conference on Software…
  • 2014
  • Corpus ID: 18182243
Traditional Association Rules algorithm has computing power shortage in dealing with massive datasets. In order to overcome these… 
Highly Cited
2010
Highly Cited
2010
A load-balanced distributed parallel mining algorithm
Highly Cited
2010
Highly Cited
2010
Parallel TID-based frequent pattern mining algorithm on a PC Cluster and grid computing system
Highly Cited
2007
Highly Cited
2007
The Research of Improved Apriori Algorithm for Mining Association Rules
The efficiency of mining association rules is an important field of Knowledge Discovery in Databases. The Apriori algorithm is a… 
2007
2007
Making Prudent vs. Impulsive Choices: The Role of Anticipated Shame and Guilt on Consumer Self-Control
We examine the differential effects of anticipating shame vs. guilt on choice likelihood of a hedonic product. The results… 
2006
2006
Flexible online association rule mining based on multidimensional pattern relations
Highly Cited
2006
Highly Cited
2006
Improving rule sorting, predictive accuracy and training time in associative classification
Highly Cited
2003
Highly Cited
2003
Interplay of energy and performance for disk arrays running transaction processing workloads
The growth of business enterprises and the emergence of the Internet as a medium for data processing has led to a proliferation… 
Highly Cited
2002
Highly Cited
2002
Mining association rules using inverted hashing and pruning
Highly Cited
1991
Highly Cited
1991
Extrapolation and spectral estimation with iterative weighted norm modification
An algorithm is developed to define, from the data samples themselves, a frequency-weighted norm to use in minimum-weighted-norm… 
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