Front Inner Page - Volume 2 No.4 August 2015

  • » Back to Index

  • Title

    :

    A Literature Study on Association Rule Mining

    Authors

    :

    Kasala Nageswar Rao1, Dr.M.V.Srinath2, K.Deva Prasad3

    Keywords

    :

    Association Rule mining, Decision making, market basket analysis

    Issue Date

    :

    August – 2015

    Abstract

    :

    Association Rule mining has become an essential topic in data mining during recent years. It gains more popularity because of its wide range of applicability. Many researches introduced new algorithms based on frequent itemsets and rule generation for performing Association Rule mining. This paper mainly concentrates on theoretical concept of existing algorithm. The first stage of this paper focus on concepts of association rule and the next stage are focussed on various applications in which association rule are useful for important decision making. Association rule mining seeks to observe associations among transactions fixed in a database. It can be used to progress decision making in a different variety of applications such as medical diagnosis, market basket analysis, census data, protein sequences, CRM of credit card company etc. 

    Page(s)

    :

    1-5

    ISSN

    :

    2347- 4734

    Source

    :

    Vol. 2, No.4, August 2015

    Download

    :


  • » Back index