Data cleansing method of talent management data in wireless sensor network based on data mining technology

• Main Author: Yanli Bai
• Format: Article
• Language: English
• Published: SpringerOpen 2019-02-01
• Series: EURASIP Journal on Wireless Communications and Networking
• Subjects: Data mining; Wireless sensor; Network talent management; Data cleaning
• Online Access: http://link.springer.com/article/10.1186/s13638-019-1342-3

Abstract Data mining technology is a very common computer technology, which has been widely used in many fields because of its superior performance. The method of talent management data cleaning in wireless sensor networks is studied based on data mining technology. The research status of data mining technology is first introduced at home and abroad, and the specific application forms of wireless sensor networks are analyzed. Then, the structure characteristics of wireless sensor networks are introduced, and a data cleansing technology is proposed based on clustering model. A cluster-based replication record deletion algorithm is proposed, and finally, the accuracy of data cleansing methods is verified. The results show that the research method of this paper is correct and effective.