Research on Data Mining Framework Based on Improved Sequential Association Rule Discovery

摘要

This paper firstly analyzes the shortcomings of sequential association rule discovery technology, and proposes the improvement method to make up the deficiency. Then, the paper discusses the data mining method based on association rules. The paper presents research on data mining framework based on improved sequential association rule discovery. This novel method can make use of frequent itemsets to generate the required association rules, according to the user set the minimum credibility of the choice, the generation of time sequence association rules.