Juan Li. Research on Mining and Analyzing Hotspot of WeChat Public Sports Based on K-means Algorithm. Dynamic Systems and Applications 29 (2020) No. 4, 1650 – 1659

https://doi.org/10.46719/dsa202029447

ABSTRACT.
As WeChat comes into being along with the rapid development of the Internet, as a new social networking platform, WeChat with its strong social function rapidly becomes an important way to exchange information between people, so WeChat research hot topic has great social value and significance.Based on the WeChat public sports hot spot mining and analysis model as the research object and data clustering analysis of data mining technology, this paper improved the defects of traditional data mining, proposed K-menas algorithm based on data mining technology, and based on the WeChat established the thermal analysis model of hot point.Finally, taking the data mining of WeChat public sports hotspots as a practical case, the reliability of the proposed mathematical model wass analyzed. The results show that WeChat hotspot mining based on K-means has strong practicability.

Keywords: data mining; K-means algorithm; WeChat public; sports hotspot