Based On Data Mining Technology Staff Behavior Research On The Internet

The paper uses data mining technology to the monitoring analysis of enterprise staff cyberloafing behavior, because of data mining theory, it focuses on three algorithms. Due to data mining technology, then build a matrix. Meanwhile, optimize enterprise original data processing process, change enterprise traditional method of data usage, via multi angle data processing, grasps the employee cyberloafing behavior trace, and discover the potential link between information and information, to excavate real reason behind employee cyberloafing behavior. To improve the enterprises’ regulatory processes and systems, and improve the culture construction and charm of enterprise to provide basis data objectively and scientifically.Combining with the experience of application of D Bank data analysis model, extend to others financial industry. Meanwhile, from the data analysis model is established to optimize the data processing flow perspective to explore science studies the IT operations management experience, which has general guide meaning to similar problems for other companies within the financial sector.This paper studies the main contents include:basic knowledge of data mining theory to explore the Internet behavior management development, and links with D Bank cases, diagnosed employees cyberloafing behavior management of the existing problems. In the light of diagnosis outcome, and in the view of theoretical foundation of apriori arithmetic, then build a matrix, application of the association rules and clustering technology related data processing. Applies data analysis model, which empirical research on data processing process optimization for D Bank employee cyberloafing behavior.