Effectiveness of ERules in Generating Non Redundant Rule Sets in Pharmacy Database
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064



Research Paper | Computer Science & Engineering | India | Volume 2 Issue 9, September 2013

Effectiveness of ERules in Generating Non Redundant Rule Sets in Pharmacy Database

Kannika Nirai Vaani. M, E. Ramaraj

'Erules' [3] is an integrated algorithm that is used to mine any data warehouse to extract useful and reliable rule sets effectively. It is used to generate positive &negative; conjunctive & disjunctive rules with the help of genetic algorithm and modified FP growth & Apriori Algorithms accordingly. It is an integrated algorithm for useful and effective association rule mining to capture even useful rare items; Lift Factor is also used to analyze the strength of derived rules. However redundant rules were one of the major challenges which were not addressed. This paper concisely deals the elimination of rule sets with the appropriate modification with the existing algorithm so that it can generate positive and negative rule sets for the non redundant rules with less cost. Besides a voluminous Pharmacy data set has been taken and the effectiveness /performance of ?Erules? got measured on it.

Keywords: Association Rule Mining, Disjunctive Rules, Multiple Minimum Support, Lift, Redundant rules

Edition: Volume 2 Issue 9, September 2013

Pages: 356 - 360

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How to Cite this Article?

Kannika Nirai Vaani. M, E. Ramaraj, "Effectiveness of ERules in Generating Non Redundant Rule Sets in Pharmacy Database", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=18091306, Volume 2 Issue 9, September 2013, 356 - 360

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Research Paper, Computer Science & Engineering, India, Volume 2 Issue 9, September 2013

Pages: 356 - 360

Effectiveness of ERules in Generating Non Redundant Rule Sets in Pharmacy Database

Kannika Nirai Vaani. M, E. Ramaraj

Share this Article
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