An approach to improve apriori algorithm based on association rule mining

Chanchal Yadav, Shuliang Wang, Manoj Kumar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

21 Citations (Scopus)

Abstract

Apriori algorithm is a popular and a classical algorithm in data mining. The main idea of this approach is to find a useful pattern in various sets of data. The algorithm suffers from many drawbacks. This paper deals with the apriori algorithm, and various techniques that were proposed to improve the apriori algorithm. The paper discusses about various approaches use to overcome the drawback of the apriori algorithm as to improve its efficiency. It also discusses about the new proposed model for improvement of apriori algorithm. The novel algorithm decreases pruning operation of candidate itemset. A new and improved model to handle dataset and to find an association between them is given. The new algorithm reduces storage space, improves efficiency and accuracy of the algorithm.

Original languageEnglish
Title of host publication2013 4th International Conference on Computing, Communications and Networking Technologies, ICCCNT 2013
DOIs
Publication statusPublished - 2013
Event2013 4th International Conference on Computing, Communications and Networking Technologies, ICCCNT 2013 - Tiruchengode, India
Duration: 4 Jul 20136 Jul 2013

Publication series

Name2013 4th International Conference on Computing, Communications and Networking Technologies, ICCCNT 2013

Conference

Conference2013 4th International Conference on Computing, Communications and Networking Technologies, ICCCNT 2013
Country/TerritoryIndia
CityTiruchengode
Period4/07/136/07/13

Keywords

  • Apriori Algorithm
  • Association Rule mining
  • Data Mining

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