Extended Apriori for association rule mining: Diminution based utility weightage measuring approach

P. Laxmi; A. Poongodai; D. Sujatha

Extended Apriori for association rule mining: Diminution based utility weightage measuring approach

P. Laxmi * §

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A. Poongodai

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D. Sujatha

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§ Auroras Technological and Research Institute (JNTU)

Extended Apriori for association rule mining: Diminution based utility weightage measuring approach

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Abstract

The field of Association rule mining is a dynamic area for innovation of knowledge through which uncountable procedures have been expounded. Recently, by including significant components viz. value (utility), volume of items (weight) etc, the researchers have enhanced the quality of association rule mining for industry by bringing out the association designs. In this note, a proficient methodology has been put forward based on weight factor and utility for effective digging out of important association rules. At the very beginning, a traditional Apriori algorithm has been utilized that make use of the anti-monotone property which states that if n items are recurring continuously then n-1 items should also recur by which the scores of weightage(W-Gain), utility(U-Gain) and diminution(D-sum), are derived at. Eventually, we derive a subset of important association rules through which EUW-Score is generated. The tentative outcome demonstrates the effectiveness of the methodology in generating high utility association rules that is profitably used for the business improvement.

References

26 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

P. Laxmi, A. Poongodai, D. Sujatha. 1970. "Extended Apriori for association rule mining: Diminution based utility weightage measuring approach". Global Journal of Computer Science and Technology GJCST Volume 11 (GJCST Volume 11 Issue 22).

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GJCST Volume 11 Issue 22

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Apriori Association Rule Mining (ARM)Diminution sum (D-sum)Recurrent item set Utility Utility Gain (U-Gain)Weightage Weighted gain (W-Gain)

Classification

GJCST Classification H.2.8

Submission ReceivedOctober 27, 2011
Peer Review Double Blind
Handling Editor
Accepted November 22, 2011
Published December 2, 2011

Version of record

v1.2

Issue date

January 12, 2012

Language

English

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Article Matrices

Total Score: 143

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: P. Laxmi, A. Poongodai, D. Sujatha (PhD/Dr. count: 0)

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Publish Date: 2011 12, Fri

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Total Views: 6.4K

Total Downloads: 419

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