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General Information
    • ISSN: 1793-8236 (Online)
    • Abbreviated Title Int. J. eng. technol.(Online)
    • Frequency:  Bimonthly
    • DOI: 10.7763/IJET
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: Chemical Abstracts Services (CAS) EBSCO, Google Scholar, Ulrich Periodicals Directory, Crossref, ProQuest, Index CopernicusEI (INSPEC, IET).
    • E-mail: ijet@vip.163.com
Prof. T. Hikmet Karakoc
Anadolu University, Faculty of Aeronautics and Astronautics, Turkey

IJET 2010 Vol.2(6): 533-536 ISSN: 1793-8236
DOI: 10.7763/IJET.2010.V2.177

Modified Approach for Online Data Mining

Pramod S.

Abstract—The association rule mining and its usage put forwarded lots of hopes in the field of data mining. The researchers in the field are going after the association rule mining techniques to find fastest as well as more precise association rules. Now a day’s, online association rule mining is getting its importance due to the popularity of internet as well as the changing behavior of the customer to depend internet for almost everything. The time required for generating frequent itemsets plays an important role in the online mining. Some algorithms are designed as considering only the time factor. Here in this paper our effort is to improve the performance of the online data mining algorithm as by making some important changes in its approach. The results are proved that the new approach improved the performance in the association rule mining in its online environment. The implementation of this algorithm has been tested as by used the dataset from Freequent Itemset Mining (FIM) dataset repository.

Index Terms—Frequent Itemset, Freequent Itemset Mining, Online Data Mining.

Author is with the Computer science Department, Pt. Ravishankar Shukla University, Raipur, C. G., INDIA. (e-mail: pramodsnair@yahoo.com).


Cite: Pramod S., "Modified Approach for Online Data Mining," International Journal of Engineering and
vol. 2, no. 6, pp. 533-536, 2010.

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