An Aprori Algorithm in Distributed Data Mining System

§ Srrenidhi Institute of Science & Technology

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An Aprori Algorithm in Distributed Data Mining System

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References

10 Cites in Article
  1. R Agrawal,R Srikant (1994). Fast Algorithms for Mining Association Rules in Large Database.
  2. R,J Shafer (1996). Parallel Mining of Association Rules.
  3. D Cheung (1996). A Fast Distributed Algorithm for Mining Association Rules.
  4. A Savasere,E Omiecinski,S Navathe (1995). An Efficient Algorithm for Mining Association Rules in Large Database.
  5. J Han,J Pei,Y Yin (2000). Mining Frequent Patterns without Candidate Generation.
  6. Mohammed Zaki,Yi Pan (2002). Introduction: Recent Developments in Parallel and Distributed Data Mining.
  7. M Zaki (2000). Scalable algorithms for association mining.
  8. Jong Park,Ming-Syan Chen,Philip Yu (1995). An effective hash-based algorithm for mining association rules.
  9. M Zaki,M Ogihara,S Parthasarathy,W Li (1996). Parallel data mining for association rules on shared-memory multi-processors.
  10. D Cheung,V Ng,A Fu,Yongjian Fu (1996). Efficient mining of association rules in distributed databases.

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 - C: Software & Data Engineering GJCST-C Volume 13 (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
Classification
GJCST-C Classification H.2.8
Version of record

v1.2

Issue date
December 28, 2013

Language
English
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An Aprori Algorithm in Distributed Data Mining System

Dr Kumar
Dr Kumar Srrenidhi Institute of Science & Technology