Real-time Feedback System of Funding Data Flow Based on Data Tracking and Classification

Data analysis and clustering technologies have becoming the state-of-the-art method of analyzing the complex information. Hence, this paper studies the real-time feedback system of the funding data flow based on the data tracking and classification. The existing research work pays little attention to the secure deletion of private data in mobile cloud, especially the secure deletion of payment information and sensitive private messages generated by mobile cloud and mobile terminal, which is not recoverable, hence, the model is implemented with the optimization of data tracking framework and the classification. After building the model, this research wrk applies it into the funding data flow tracking and monitoring, as well as considering the real-time requirement. The proposed system has been tested on various data sets and the convincing results are achieved.