Behavioral process mining and predicting of mobile users based on context-fusion

Aiming at the problem that mining and predict personalized behavioral process for user in mobile environment, a Context-Fusion Process (CFP) model was proposed by integrating various contexts into a unified situation. Furthermore, a behavioral process model based on context-fusion was proposed through CFP merged with behavioral process. On this basis, a method called App Sequence based on Context-Fusion Mine (ASCF-Mine) for mining behavioral process was proposed, which took advantage of situation cycle and time properties of process to mine frequent behavioral processes. A predicting approach was proposed based on collaborative filtering to predict the behavioral process for user, which was combined with frequent behavioral process. Through the specific examination, the effectiveness of proposed methods was validated.