Research on application framework of electronic document business based on big data technology

With the rapid development of big data technology, electronic documents are more and more widely used. Aiming at the characteristics of large amount of data, complex format and non-standard information data of electronic documents, this paper uses data mining technology to realize the correlation construction between documents. Firstly, on the basis of dynamic incremental association rules, according to the characteristics of electronic document business, the association rules are improved. Secondly, the advantages of Boolean matrix operation, original data association rules and frequent 2-item set are used to improve the acquisition ability of the system for frequent items of document features. The experimental results show: that algorithm in this paper has higher computational efficiency in the process of file increment change and deletion change, and is suitable for electronic file processing in the case of big data.