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Mining Association Rules using Hash Table

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International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 57 - Number 8
Year of Publication: 2012
Authors:
K. Rajeswari
V. Vaithiyanathan
Swati. Tonge
Rashmi Phalnikar
10.5120/9132-3320

K Rajeswari, V Vaithiyanathan, Swati.tonge and Rashmi Phalnikar. Article: Mining Association Rules using Hash Table. International Journal of Computer Applications 57(8):7-11, November 2012. Full text available. BibTeX

@article{key:article,
	author = {K. Rajeswari and V. Vaithiyanathan and Swati.tonge and Rashmi Phalnikar},
	title = {Article: Mining Association Rules using Hash Table},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {57},
	number = {8},
	pages = {7-11},
	month = {November},
	note = {Full text available}
}

Abstract

Data mining is a field which searches for interesting knowledge or information from existing massive collection of data. In particular, algorithms like Apriori help a researcher to understand the potential knowledge, deep inside the data base. But due to the large time consumed by Apriori to find the frequent item sets and generate rules, several applications cannot use this algorithm. In this paper, we describe the modification of Apriori algorism, which will reduce the time taken for execution to a larger extent.

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