Efficient Distributed Algorithm Using Association Rule Mining For Large Database

Efficient Distributed Algorithm Using Association Rule Mining For Large Database

N.K. Sharma

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Dr. R.C. Jain

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Efficient Distributed Algorithm Using Association Rule Mining For Large Database

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19 Cites in Article

Reference Format

R Agrawal,T Imienski,A Swamy (1991). Database Mining: A Performance Perspective.
R Agrawal,T Imielinski,A Swami (1993). Mining association rules between sets of items in large databases.
Margaret Dunham,Yongqiao Xiao,; Dallas,Texas,Le Gruenwald,Zahid Hossain,University Of Oklahoma,U Norman A Survey of Association Rules.
Jong Soo,Park,Ming-Syan Chenand,Philip Yu (1995). An effective hash-based algorithm for mining association rules.
Mohammed Zaki (1999). Parallel and distributed association mining: a survey.
Jiawei Han,Jian Pei,Yiwen Yin (1999). Mining frequent patterns without candidate generation.
Mohammad El,-Hajj,Osmar Zaiane (2003). Parallel Association Rule Mining with Minimum Inter-process Communication.
R Agrawal,J Shafer (1996). Parallel mining of association rules.
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A Zomya,T Ghazawi,O Frieder (1999). Parallel and Distributed Computing for Data Mining.
Skillicorn (1999). Strategies for Parallel Data Mining.
A Mueller (1995). Fast and Sequential Algorithms for Association Rule Mining.
Margaret Dunham,Yongqiao Xiao,; Dallas,Texas,Le Gruenwald,Zahid Hossain,University Of Oklahoma,U Norman A survey of Association Rules.
Mohammed Zaki (1999). Parallel and distributed association mining: a survey.
E Han,G Karypis,V Kumar (2000). Scalable Parallel Data Mining for Association Rules.
T Shimomura,S Shibusawa (2000). Performance Evaluation of Distributed Algorithms for Mining Association Rules on Workstation Cluster.
Xindong Hao Huang,Richard Wu,Relue (2002). Association Analysis with One Scan of Databases.
O Zaiane,M Hajj (2003). Parallel Association Rule Mining with Minimum Inter-Processor Communication.
Fan Wu,Ya-Han Hu,Tz Ke Wu A Novel and Efficient Distributed Data Mining Algorithm Based on Frequent Pattern-Tree.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

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How to Cite This Article

. 1970. \u201cEfficient Distributed Algorithm Using Association Rule Mining For Large Database\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 13 (GJCST Volume 13 Issue C5): .

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GJCST Volume 13 Issue C5
Pg. 33- 37

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

a-priori Association Rules FP-Tree knowledge discovery parallel processing and frequent item set

Submission ReceivedDecember 14, 2012
Peer Review Double Blind
Handling Editor
Accepted January 5, 2013
Published January 15, 2013

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Total Score: 107

Country: Unknown

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: N.K. Sharma, Dr. R.C. Jain (PhD/Dr. count: 1)

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