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Call for Paper - May 2015 Edition
IJCA solicits original research papers for the May 2015 Edition. Last date of manuscript submission is April 20, 2015. Read More

A Study of Different Association Rule Mining Techniques

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 108 - Number 16
Year of Publication: 2014
Authors:
R. Z. Inamul Hussain
S. K. Srivatsa
10.5120/18994-0449

Inamul R Z Hussain and S K Srivatsa. Article: A Study of Different Association Rule Mining Techniques. International Journal of Computer Applications 108(16):10-15, December 2014. Full text available. BibTeX

@article{key:article,
	author = {R. Z. Inamul Hussain and S. K. Srivatsa},
	title = {Article: A Study of Different Association Rule Mining Techniques},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {108},
	number = {16},
	pages = {10-15},
	month = {December},
	note = {Full text available}
}

Abstract

Association Rule Mining (ARM) is one of the major data mining methods used to mine hidden knowledge from databases that can be used by an organization's decision makers to increase overall profit. However, performing ARM needs frequent passes over the entire database. Clearly, for large database, the role of input/output overhead in scanning the database is very important. In this paper, we provide some fundamental concepts related to association rule mining and survey the record of existing association rule mining methods. Obviously, a single article cannot be a entire review of the entire algorithms, yet we wish that the references cited will cover up the major theoretical issues, guiding the researcher in motivating research information that have yet to be explored.

References

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