Title: Association rule mining method based on weighted frequent pattern tree in mobile computing environment

Authors: Jiang-hui Cai; Xu-jun Zhao; Ya-lin Xun

Addresses: Computer Science and Technology School, Taiyuan University of Science and Technology, Taiyuan, Shanxi, China ' Computer Science and Technology School, Taiyuan University of Science and Technology, Taiyuan, Shanxi, China ' Computer Science and Technology School, Taiyuan University of Science and Technology, Taiyuan, Shanxi, China

Abstract: With the development of mobile communication technology and computer technology, further requirements are put forward to provide decision support for the individual or customers on the move. Association rule mining is a way to solve this problem. Firstly, the association rule mining model in mobile computing is presented and then the concepts of weighted items and weighted association rules are proposed based on association rule mining in mobile computing environment. On this basis, weighted frequent pattern tree is given to mine weighted frequent itemsets in the mobile environment, at the same time a weighted frequent pattern tree construction algorithm and association rule extraction method are given, which provides a variety of auxiliary decision support services for mobile users.

Keywords: mobile computing; association rules; association rule mining; weighted frequent pattern tree; decision support; frequent patterns.

DOI: 10.1504/IJWMC.2013.054047

International Journal of Wireless and Mobile Computing, 2013 Vol.6 No.2, pp.193 - 199

Received: 22 Oct 2012
Accepted: 20 Nov 2012

Published online: 15 May 2013 *

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