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  • Data mining of baskets collected at different locations over one year
    Mladenić, Dunja ; Eddy, William F. ; Ziolko, Scott
    This paper describes the first steps in analysis of millions of baskets collected over the past year from a retail grocery chain containing hundreds of stores. Each record in the data set represents ... an individual item processed by an individual checkout laser scanner at a particular store at a particular time on a particular day. In order to get some insights in the data, we used several different approaches including some statistical analysis, some machine learning, and some data mining methods. The sheer size of the data set has forces us to go beyond usual data mining methods and utilize Meta-Mining: the post processing of the results of basic analysis methods.
    Source: Informatica : an international journal of computing and informatics. - ISSN 0350-5596 (Vol. 25, no. 3, Okt. 2001, str. 365-369)
    Type of material - article, component part
    Publish date - 2001
    Language - english
    COBISS.SI-ID - 16456487

    Link(s):

    Digitalna knjižnica Slovenije - dLib.si

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