An Aprori Algorithm in Distributed Data Mining System

Dr C.Sunil Kumar

An Aprori Algorithm in Distributed Data Mining System

Dr C.Sunil Kumar * §

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§ Srrenidhi Institute of Science & Technology

An Aprori Algorithm in Distributed Data Mining System

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References

10 Cites in Article

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1. R Agrawal,R Srikant (1994). Fast Algorithms for Mining Association Rules in Large Database. Proc. 20th Int'l Conf. Very Large Databases (VLDB 9 4), 407-419.
2. R,J Shafer (1996). Parallel Mining of Association Rules. IEEE Tran. Know ledge, 8(6), 962-969.
3. D Cheung (1996). A Fast Distributed Algorithm for Mining Association Rules. Proc. Parallel and Distributed Information Systems, 31-42.
4. A Savasere,E Omiecinski,S Navathe (1995). An Efficient Algorithm for Mining Association Rules in Large Database. Proc. 21st Int'l Conf. Very Large Databases (VLDB 94), 432-444.
5. J Han,J Pei,Y Yin (2000). Mining Frequent Patterns without Candidate Generation. Proc. ACM SIGMOD Int'l. Conf. Management of Data, 1-12.
6. Mohammed Zaki,Yi Pan (2002). Introduction: Recent Developments in Parallel and Distributed Data Mining. Distributed and Parallel Databases, 11(2), 123-127.
7. M Zaki (2000). Scalable algorithms for association mining. IEEE Transactions on Knowledge and Data Engineering, 12(3), 372-390.
8. Jong Park,Ming-Syan Chen,Philip Yu (1995). An effective hash-based algorithm for mining association rules. Proceedings of the 1995 ACM SIGMOD international conference on Management of data - SIGMOD '95, 175-186.
9. M Zaki,M Ogihara,S Parthasarathy,W Li (1996). Parallel data mining for association rules on shared-memory multi-processors. Proceedings of the 1996 ACM/IEEE conference on Supercomputing, 43.
10. D Cheung,V Ng,A Fu,Yongjian Fu (1996). Efficient mining of association rules in distributed databases. IEEE Transactions on Knowledge and Data Engineering, 8(6), 911-922.

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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

Dr C.Sunil Kumar. 2013. "An Aprori Algorithm in Distributed Data Mining System". Global Journal of Computer Science and Technology GJCST-C Volume 13 (GJCST Volume 13 Issue C12).

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GJCST Volume 13 Issue C12

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

apriori algorithm (aa)association rules (ars)distributed data mining (ddm)parallel xml data

Classification

GJCST-C Classification H.2.8

Submission ReceivedDecember 13, 2012
Peer Review Double Blind
Handling Editor
Accepted December 31, 2012
Published December 28, 2013

Version of record

v1.2

Issue date

December 28, 2013

Language

English

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Article Matrices

Total Score: 141

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Dr C.Sunil Kumar (PhD/Dr. count: 0)

View Count (all-time): 499

Total Views (Real + Logic): 2595

Total Downloads (simulated): 218

Publish Date: 2013 01, Tue

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Total Views: 2.6K

Total Downloads: 218

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