| With the coming of information age, people will be confronted with more and more data. As the amount of data is extremelygrowing, people feel at a loss when facing the information sea just like looking for a needle in a haystalk. So, a technology that can discard the dross and store its quaintness, eliminate the false and retain the true is needed. Data Mining Technology resulted from the long research and development of data technology, the natural evolution of information technology. It can draw potential, valuable knowledge and models or the process of the rules from a large amount of data.The related algorithm stated in this thesis is an important content data mining, whose main algorithm included classified mode, related rule, strategic tree, array mode, cluster's mode analysis, nerve network algorithm and so on. The related rule is a very important research task in the field of data mining, widely used in all kinds of fieldsto examine the knowledge mode developing for a long time inside the profession as well as discover the hidden new regulation. Effectively discovering, understanding, and using the related rule is a very important means of finishing data mining task. Therefore, the research on the related rule has a significant theory value and realistic meaning.This thesis was mainly aimed to make an analysis and comparison on the related rule's superiority as well as inferiority;make a conclusion of the strategy improving the rule;make a statement of the related application to the related rule in data mining;at last, make a prospect of the research problem in the front and thedevelopment trend in the future about the related rule. |
