Improved association rule mining by modified trimming

Wontae Hwang, Dongseung Kim

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    15 Citations (Scopus)

    Abstract

    This paper presents a new association mining algorithm that uses two phase sampling for shortening the execution time at the cost of precision of the mining result. Previous FAST (Finding Association by Sampling Technique) algorithm has the weakness in that it only considered the frequent 1-itemsets in trimming/growing, thus, it did not have ways of considering mulit-itemsets including 2-itemsets. The new algorithm reflects the multi-itemsets in sampling transactions. It improves the mining results by adjusting the counts of both missing itemsets and false itemsets. Experimentally on a representative synthetic database, the accuracy of 2-itemsets reaches 0.68 compared to 0.46 while it maintains the same quality.

    Original languageEnglish
    Title of host publicationProceedings - Sixth IEEE International Conference on Computer and Information Technology, CIT 2006
    PublisherIEEE Computer Society
    Pages24-28
    Number of pages5
    ISBN (Print)076952687X, 9780769526874
    DOIs
    Publication statusPublished - 2006
    Event6th IEEE International Conference on Computer and Information Technology, CIT 2006 - Seoul, Korea, Republic of
    Duration: 2006 Sept 202006 Sept 22

    Publication series

    NameProceedings - Sixth IEEE International Conference on Computer and Information Technology, CIT 2006

    Other

    Other6th IEEE International Conference on Computer and Information Technology, CIT 2006
    Country/TerritoryKorea, Republic of
    CitySeoul
    Period06/9/2006/9/22

    ASJC Scopus subject areas

    • Computer Science Applications
    • Information Systems
    • Software
    • General Mathematics

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