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Study on Apriori Algorithm and its Application in Grocery Store

International Journal of Computer Applications
© 2013 by IJCA Journal
Volume 74 - Number 14
Year of Publication: 2013
Pragya Agarwal
Madan Lal Yadav
Nupur Anand

Pragya Agarwal, Madan Lal Yadav and Nupur Anand. Article: Study on Apriori Algorithm and its Application in Grocery Store. International Journal of Computer Applications 74(14):1-8, July 2013. Full text available. BibTeX

	author = {Pragya Agarwal and Madan Lal Yadav and Nupur Anand},
	title = {Article: Study on Apriori Algorithm and its Application in Grocery Store},
	journal = {International Journal of Computer Applications},
	year = {2013},
	volume = {74},
	number = {14},
	pages = {1-8},
	month = {July},
	note = {Full text available}


Among the many mining algorithms of associations rules, Apriori Algorithm is a classical algorithm that has caused the most discussions; it can effectively carry out the mining association rules. With large database, the process of mining association rules is time consuming. The efficiency becomes crucial factor. Moreover, Apriori algorithm is improved by reducing the number of scanning data base. The proposed algorithm reduces the storage room, improves the competency of performance with negligible error of the algorithm. Finally, the improved Apriori algorithm can solve the problem of traditional Apriori algorithm. After analyzing the Apriori algorithm, this algorithm is incapable due to it scans the database several times. Based on the planning of getting to database once, a new recoverd algorithm formed on the Apriori is put forward in this paper. Experiments show that it can mostly adds computation competency, i. e. minimize the calculating time and space. This algorithm has been broadly used for Grocery rooms in customer consumer knowledge mining.


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