The purpose of this paper is to research on the design and analysis of low delay deterministic network based on data mining association. This paper studies and implements the algorithm of mining page association rules. A session recognition algorithm based on log reference page and request time is proposed by using the time probability relationship of continuous requests. This method improves the accuracy of log data preprocessing and page association rules mining. This paper studies and tests the efficiency, prefetch timing and cache organization of the two page association rules. The results show that in this prefetch scheme, the prefetch performance of the association rules of unordered pages is better than that of the association rules of ordered pages. The prefetch performance when cache hits is better than that when cache fails and the cache fails to hit has better performance. In the case of a certain size of cache space, reasonable organization of cache space can further improve the cache hit rate and reduce the network delay.

From the traditional perspective, the system design process of data mining should be continuously broke through, based on web platform, making further analysis of model build. This paper combine four parts of whole web mining system to make discussion, making data mining models of the web meet scientific requirements and making relevance and effectiveness of the data mining process are fully guaranteed. Hoping through the research process of this article, the majority of business users can get a positive impact on their development, and at the same time, hoping that it can provide scientific and effective theory and model evidence for further study of data mining system.