基于时延Petri网的网络日志行为相似性分析

Similarity Analysis and Research for Web Log Behavior based on TdPN

在序列对齐(Sequence Alignment)方法的基础上,通过时延Petri网来分析Cookies网络日志,提出网络用户行为的相似性比较标准,给出快速计算网络用户行为相似度的算法,从Petri网的结构特征和时间特征上计算不同用户的相似性.所提出的方法为网络用户行为的细分提供了一种新的思路和方法.

Based on sequence alignment(Sequence Alignment)method,Cookies network log can be analyzed by the Delay Petri net.The comparative standard of network user behavior similarity can be proposed,and the fast calculation algorithm of network user behavior similarity can be given.With this method,the similarity of different users can be calculated from the structure and the characteristics of the time Petri net.Which provides a new idea and method for behavior segmentation of network users.