Research and Application of Network User Behavior Data Mining Under the Background of Big Data

Guest Editor Huier Liu (North China University of Water Resources and Electric Power, China)

In this paper, the author studies the application of network user behavior data mining under the background of big data. In this research work we focused mainly on the precise mobility profile building thorough trajectory and behavioral pattern mining using the GSM CGI Cell-ID, where all the concerned issues like precise spatial extraction, stay points detection and mobility profiling are addressed properly thorough the proposed framework. The proposed framework utilized both spatial term and semantic information for mobility profile building which is not addressed in any of previous related work, so makes it suitable for any LBS due to of its novel and generic nature.

Journal: International Journal of Simulation: Systems, Science & Technology, IJSSST V17

Published: Jan 21, 2016

DOI: 10.5013/IJSSST.a.17.03.16