Filtering corrupted data at influencing points with a statistical catalyst agent

Jay R. Rajasekera, V. Pemajayantha, V. Pemajayantha, Robert Mellor, M. Shelton Peiris, Jay R. Rajasekera

    Research output: Chapter in Book / Conference PaperConference Paper

    Abstract

    ![CDATA[Catalyst agent (CA) is the name given to a new concept in which artificial data points are introduced with an intension of later filtering them togenther with massive amount of corrupted data that mask possible relationship between variables. Use of CA method could sharpen and extract valuable relationships hidden in massive datasets. This paper explores the potential of CA method in the context of data mining and modeling of massive datasets is evaluated. The concept is illustrated with a simple linear regression model and CAs with influencing effects on X and Y directions. The introduction of so-called X-influencing and Y-influencing datasets allows extraction of relationships hidden in massive datasets. The potential for future improvement of the technique in multivariate context is discussed. While nothing has been reported in this area of research in the past, the method lays the foundation for a new era of future statistical research.]]
    Original languageEnglish
    Title of host publicationCurrent Research in Modelling, Data Mining & Quantitative Techniques
    PublisherUniversity of Western Sydney
    Number of pages16
    ISBN (Electronic)0975159909
    ISBN (Print)9780975159903
    Publication statusPublished - 2003
    EventWorkshop on Advanced Research Methods -
    Duration: 1 Jan 2003 → …

    Conference

    ConferenceWorkshop on Advanced Research Methods
    Period1/01/03 → …

    Keywords

    • data mining
    • electronic data processing
    • variables (mathematics)
    • database management
    • data structures (computer science)
    • catalysts

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