Volume 6 Number 2 (Feb. 2011)
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JSW 2011 Vol.6(2): 306-313 ISSN: 1796-217X
doi: 10.4304/jsw.6.2.306-313

A DIC-based Distributed Algorithm for Frequent Itemset Generation

Preeti Paranjape-Voditel1, Umesh Deshpande2
1Department of Computer Applications, Shri Ramdeobaba Kamla Nehru Engineering College, Nagpur, Maharashtra, India
2Department of Computer Science,Visvesvaraya National Institute of Technology (VNIT),Nagpur, Maharashtra, India


Abstract—A distributed algorithm based on Dynamic Itemset Counting (DIC) for generation of frequent itemsets is presented by us. DIC represents a paradigm shift from Apriori-based algorithms in the number of passes of the database hence reducing the total time taken to obtain the frequent itemsets. We exploit the advantage of Dynamic Itemset Counting in our algorithm- that of starting the counting of an itemset as early as possible at the different site as soon as they become frequent at atleast one site. Hence, our algorithm shows remarkable improvement in the amount of time taken because of reduction in the number of passes of the database and comparatively lesser number of candidates generated. Distributed frequent itemset counting and association rule generation have basically used algorithms based on Apriori or Sampling. This is the first algorithm which is based on DIC.

Index Terms—Distributed Association Rule Mining, dynamic Itemset Counting (DIC), Optimistic Messaging DIC

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Cite: Preeti Paranjape-Voditel, Umesh Deshpande, "A DIC-based Distributed Algorithm for Frequent Itemset Generation," Journal of Software vol. 6, no. 2, pp. 306-313, 2011.

General Information

ISSN: 1796-217X (Online)
Frequency: Monthly (2006-2019); Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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