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In this paper, the authors explore a new data mining capability and security for a mobile commerce environment. M-commerce is a major application domain for mobile devices, enabling users to perform commercial transactions wherever they go. However, these applications require a high level of security. To achieve effective mobile commerce security and ultimately consumer trust the security mechanisms will constitute as a security risk. So, they identify the special characteristics of M-commerce and reflect on some important security issues using Random Number Generator (RNG) with efficient mining and prediction techniques. A novel framework, called Mobile Commerce Explorer (MCE), for mining and prediction of mobile users' movements and purchase transactions under the context of mobile commerce.
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