Python-based Mining Research Of Connected Relations Between Outdoor Communications Facilities

With the development of the communications industry, individuals and businesses’ demand for communications services are growing, the operators are increasing their efforts in building the information infrastructure. Once facility construction is completed and put into use in an area, the operators have to manage the connected relations of these facilities within the region,and set the value of some indicators to monitor the region, once the indicators goes up to the threshold value,managers should be able to quickly find the region and respond to the specific address. In this paper, the writer try to design a Python-based data mining system for connected relations of outdoor communications facilities,the data of facilities connected relations in rural area in Suzhou of a Suzhou telecommunications operator will be used as test data.This system,provide a technical tool for in-depth understanding of communications facilities connected relations status in a particular area. Test results show that the system can accurately and effectively induce the relationship between the facilities, and shows the relationship between these connections through rational inquiry, as well as filter out some location IDs of connecting nodes which are related to relevant indicators.