Research on the Relationship Between Regional Economic Sustainable Development and Human Land Coordination Based on Data Mining under the Background of Big Data

In this paper, the author studies the relationship between regional economic sustainable development and human land coordination based on 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. The result shows that by using data mining under the background of big data, we can get the quantitative description of the relationship between regional economic sustainable development and human land coordination.