International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Downloads: 116 | Views: 157

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

Improved Association Rule Mining based on UP-Growth Algorithm

Ashwini Patil [2] | Poonam Gupta [7]

Abstract: 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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