期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2013
卷号：4
期号：8-4
出版社：Seventh Sense Research Group
摘要：Now a day’s research and applications on mobile commerce has a lot of development. Mining and Prediction of customers’ mobile commerce behaviors like shopping areas, movements and buy transactions have come to more interest. Here we are Put forward a framework, named Mobile Transaction Fore castor (MTP), to querying and fore casting transactions over mobile customers. The MTP framework includes of three critical strategies 1) Similarity Identity Model (SIM) for calculate the similarity weight on stores and products, 2) Mobile Transaction Pattern Mine (MTPMine) algorithm used to find customers purchased transactions Model s and last 3) Mobile Transaction Fore castor (MTP) to fore cast the customers possible purchase products in mobile transactions based on customer behaviors. As we are reporting, this is the new work that provides mining and fore casting of mobile customers transition patterns to suggest stores and products based on previously unknown to a customer. We have also evaluated an experimental evolutions on our proposed methodology, and show that our proposals frame work good results over previous frame works.
关键词：Mining; Mobile commerce; Fore casting; Personal Model s
