Analysis and Visualization of Website Log Data from the Perspective of Big Data
Jieyu Lai · 2019
Human society has entered the era of big data in which everything can be digitized, how to efficiently analyze massive data through limited resources is the common requirement of current enterprises to obtain valuable information from complex data. This paper takes the website log data of a consulting company as the research object. SOM and FCM double layer clustering model are used to analyze massive log data efficiently. At the same time, T-sne algorithm is used to reduce the dimensionality of high-dimensional data, and data visualization is realized in the form of two-dimensional graph coordinate diagram. For website maintenance staff more easily understand the network security situation, identify abnormal access and further data analysis to provide ideas.