Finding Efficient Positive and Negative Itemsets Using Interestingness Measures

  • Authors

    • P. Asha
    • T. Prem Jacob
    • A. Pravin
    2018-12-09
    https://doi.org/10.14419/ijet.v7i4.36.24133
  • Association rule, positive association rules, negative association ruls, Interestingness measures.

  • Abstract

    Currently, data gathering techniques have increased through which unstructured data creeps in, along with well defined data formats. Mining these data and bringing out useful patterns seems difficult. Various data mining algorithms were put forth for this purpose. The associated patterns generated by the association rule mining algorithms are large in number. Every ARM focuses on positive rule mining and very few literature has focussed on rare_itemsets_mining. The work aims at retrieving the rare itemsets that are of most interest to the user by utilizing various interestingness measures. Both positive and negative itemset mining would be focused in this work.

     

     

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  • How to Cite

    Asha, P., Prem Jacob, T., & Pravin, A. (2018). Finding Efficient Positive and Negative Itemsets Using Interestingness Measures. International Journal of Engineering & Technology, 7(4.36), 533-541. https://doi.org/10.14419/ijet.v7i4.36.24133

    Received date: 2018-12-16

    Accepted date: 2018-12-16

    Published date: 2018-12-09