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An Algorithm for Hiding Association Rules on Data Mining

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IJCA Proceedings on National Conference on Communication Technologies & its impact on Next Generation Computing 2012
© 2012 by IJCA Journal
CTNGC - Number 3
Year of Publication: 2012
Authors:
Sunil Kumar
Mahaveer Singh
Nidhi Porwal

Sunil Kumar, Mahaveer Singh and Nidhi Porwal. Article: An Algorithm for Hiding Association Rules on Data Mining. IJCA Proceedings on National Conference on Communication Technologies & its impact on Next Generation Computing 2012 CTNGC(3):1-4, November 2012. Full text available. BibTeX

@article{key:article,
	author = {Sunil Kumar and Mahaveer Singh and Nidhi Porwal},
	title = {Article: An Algorithm for Hiding Association Rules on Data Mining},
	journal = {IJCA Proceedings on National Conference on Communication Technologies & its impact on Next Generation Computing 2012},
	year = {2012},
	volume = {CTNGC},
	number = {3},
	pages = {1-4},
	month = {November},
	note = {Full text available}
}

Abstract

We propose a algorithm to hiding association rules on data mining. We make a target data table without joining the multiple tables using the hiding association rules. Hiding association rules joined data table and all dimension tables, it is reduce support and confidence in multi relational data mining. Association analysis is a powerful and popular tool for discovering relationships hidden in large data sets. We can modify transaction data item sets.

References

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