Research on Data Mining Algorithm Based on Cloud Platform

Yadong Zhu

Nanjing Engineering Branch, Jiangsu ｕｎｉｏｎ Technical Institute, Nanjing, 210019, China

Abstract: The control and management of plenty of traditional home furnishing take a long time. For achieving the remote control and uniform management of home equipment, according to the characteristics of complex network, intelligence home furnishing data mining should be systematically studied. Therefore, a intelligence home furnishing data mining method based on K-means clustering of genetic algorithm is proposed. The method is utilized to collect data from cloud platform, and extract features combined with the collected data. Then, K-means clustering method of genetic algorithm method is adopted to cluster extracted intelligence home furnishing data to complete the research on the data mining algorithm of cloud platform. Experimental results show that this method can effectively reduce the time of data processing.

Keywords: Cloud platform; Data acquisition; Data feature extraction; Data mining