Main Reference PaperA Framework for Personal Mobile Commerce Pattern Mining and Prediction, IEEE Transactions on Knowledge and Data Engineering, May 2012.
  • This paper has proposed a novel framework, namely MCE, for mining and prediction of mobile users’ movements and transactions in mobile commerce environments. In the MCE framework, there are three major techniques such as SIM for measuring the similarities among stores and items, PMCP-Mine algorithm for efficiently discovering mobile users’ PMCPs; and MCBP for predicting possible mobile user behaviors.

+ Description
  • This paper has proposed a novel framework, namely MCE, for mining and prediction of mobile users’ movements and transactions in mobile commerce environments. In the MCE framework, there are three major techniques such as SIM for measuring the similarities among stores and items, PMCP-Mine algorithm for efficiently discovering mobile users’ PMCPs; and MCBP for predicting possible mobile user behaviors.

  • To determine the similarities of stores and items.

  • To automatically compute the store and item similarities from the Mobile Transaction database, which captures mobile users’ moving and transactional behaviors (in terms of movement among stores and purchased items)?

+ Aim & Objectives
  • To determine the similarities of stores and items.

  • To automatically compute the store and item similarities from the Mobile Transaction database, which captures mobile users’ moving and transactional behaviors (in terms of movement among stores and purchased items)?

  • This paper contributes the following methods.1) Similarity Inference Model for measuring the similarities among stores and items, which are two basic mobile commerce entities 2) PMCP algorithm for efficient discovery of mobile users’ Personal Mobile Commerce Patterns; and 3) MCBP for prediction of possible mobile user behaviors

+ Contribution
  • This paper contributes the following methods.1) Similarity Inference Model for measuring the similarities among stores and items, which are two basic mobile commerce entities 2) PMCP algorithm for efficient discovery of mobile users’ Personal Mobile Commerce Patterns; and 3) MCBP for prediction of possible mobile user behaviors

  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1, J2SE

+ Software Tools & Technologies
  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1, J2SE

  • B.E / B.Tech / M.E / M.Tech

+ Project Recommended For
  • B.E / B.Tech / M.E / M.Tech

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