Research on Website Traffic Statistics System

• Main Authors: Huang, Lingfang, Zhu, Li, Zhou, Xiaodie, Liu, Junying
• Format: Conference Proceeding
• Language: English
• Subjects: Analytical models; clustering; Design methodology; Distributed databases; feature analysis; Feature detection; Feature extraction; Real-time systems; Simulation; statistics; system; website traffic
• ISSN: 2157-1481
• DOI: 10.1109/ICMTMA50254.2020.00207

In order to improve the ability of real-time statistical analysis of website network user traffic data, a design method of website network user traffic data statistical system based on quantitative regression analysis and embedded design is proposed. The distributed collection and storage structure model of website network user traffic data is constructed, the embedded traffic acquisition router is used to sample the website network user traffic data, the collected website network user traffic data is reorganized, the association rule characteristic quantity of website network user traffic data is extracted, and the fuzzy information clustering processing of website network user traffic data is carried out according to the distribution of traffic information characteristics. The multi-distribution feature detection and attribute clustering model of website network user traffic data is established, and the multivariate information reconstruction of website network user traffic data is carried out by using fuzzy fusion method, and the real-time statistical analysis of website network user traffic data is realized in the reconstructed feature space. The simulation results show that the method has good real-time performance, high accuracy and good ability to detect and identify the traffic information of website network users.