Improved Association Rule Mining based on UP-Growth Algorithm
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Survey Paper | Computer Science & Engineering | India | Volume 5 Issue 12, December 2016

Improved Association Rule Mining based on UP-Growth Algorithm

Ashwini Patil, Poonam Gupta

Mining of associations have been considered from different point of views, the use of high-dimensional data sets could still be a hard process. Besides, one should considers that, regardless the heuristic considered to solve the problem, the number of data accesses is high, so a data structure that speeds up the queries is the keystone. In this regard, the goal is to propose a suitable data structure that enables to both handle and fast compute high-dimensional data sets. For that purpose, the desired data structure should allow either to simplify or to reorganize data items in order to reduce the data size and provide a faster access to the stored information. In this paper we introduce new algorithm known as UP-growth which has the ability to mine the high dimensional data in less time complexity.

Keywords: Association rule mining ARM, data access, data structure, index compression

Edition: Volume 5 Issue 12, December 2016

Pages: 515 - 518

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How to Cite this Article?

Ashwini Patil, Poonam Gupta, "Improved Association Rule Mining based on UP-Growth Algorithm", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20163484, Volume 5 Issue 12, December 2016, 515 - 518

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