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Research Article Open access CC BY 3.0

User Movement Behavior Analysis in Mobile Service Environment

Krishna K. Mohbey, G.S. Thakur

Journal of Advances in Mathematics and Computer Science · pp. 822–834 · Published 5 Sep 2013

10.9734/BJMCS/2013/5546

Abstract

Mobile services are very important and useful to users for accessing desired information as well as performing some transactions. There are different kinds of mobile services which are used using the mobile devices. These mobile services are capable to mine the required knowledge from the huge amount of data. In this paper, mobile access pattern generation approach is proposed, which has capability to generate strong patterns between the four different parameters called mobile user, location, time and mobile service. The proposed approach generates the entire pattern by joining these parameters and finds the highest predicted patterns. To generate strong associated pattern, graph matching algorithms and database join operations are used. The proposed approach is very useful in the mobile service environment to predict the new services and improved in existing one. The experiment is performed with the different min support values and proposed approach also compares with the standard association rule generation Apriori process. Here we find that the proposed approach produced excellent results and has given better performance.

Mobile Location Mobile Service Mobile Pattern Relative Intensity

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