Data Mining Based on Semantic Similarity to mine new Association Rules

Aakanksha Mahajan; Dr. Sandeep Jain

Data Mining Based on Semantic Similarity to mine new Association Rules

Aakanksha Mahajan * §

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Dr. Sandeep Jain

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§ Doon Valley Institute of Engineering And Technology

Data Mining Based on Semantic Similarity to mine new Association Rules

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References

7 Cites in Article

Reference Format

W Au,K Chan (1998). An effective algorithm for discovering fuzzy rules in relational databases.
W Au,K Chan (1999). FARM: a data mining system for discovering fuzzy association rules.
J Han,M Kamber (2001). Data Mining -Concepts and Techniques.
G Chen,Q Wei (2002). Fuzzy association rules and the extended mining algorithms.
X Unknown Title.
Xindong Wu,Chengqi Zhang,Shichao Zhang (2002). Efficient mining of both positive and negative association rules.
Tzung-Pei Hong,Kuei-Ying Lin,Shyue-Liang Wang (2006). Mining fuzzy sequential patterns from quantitative transactions.

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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

Aakanksha Mahajan, Dr. Jain. 2012. "Data Mining Based on Semantic Similarity to mine new Association Rules". Global Journal of Computer Science and Technology, Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 12 (GJCST Volume 12 Issue C12).

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GJCST Volume 12 Issue C12

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Association Rules Confidence Data mining Fuzzy logic Semantic similarity Support

Classification

GJCST-C Classification H.2.8

Submission ReceivedDecember 13, 2011
Peer Review Double Blind
Handling Editor
Accepted January 5, 2012
Published January 15, 2012

Version of record

v1.2

Issue date

August 21, 2012

Language

English

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Article Matrices

Total Score: 147

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Dr. Sandeep Jain, Aakanksha Mahajan (PhD/Dr. count: 1)

View Count (all-time): 379

Total Views (Real + Logic): 4162

Total Downloads (simulated): 170

Publish Date: 2012 01, Sun

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Total Views: 4.2K

Total Downloads: 170

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