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**Submission of manuscripts for Volume 08, Issue 05 (September, 2019) is open.

 

USER BEHAVIOR PATTERN MINING METHOD BASED ON ADAPTIVE CODING


Author : Tong Zhang, Ruijuan Zhen
[ Volume No.:VI, Issue No.II-Mar 2017] [Page No : 702-706] [2017]

Mobile cloud computing is a new application model with the continuous development and integration of cloud computing and mobile internet. In the architecture of trusted mobile cloud services, the determination and identification of user's identity and behavior will be an important prerequisite for subsequent services. This project focuses on the user trust issues and behavior pattern mining. First, we give a formal description of the sequence of the user's temporal behavior, and the coding structure of the sequence of user behavior. Then, we model the user's normal behavior patterns based on context and timing functions. According to the characteristics of mining temporal behavior patterns, we draw on the theory of genetic algorithm, and propose an adaptive user behavior pattern coding method.

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