Association Rules Mining Algorithm And Its Application On Process Industry

Recently, the technique of Data Mining (DM) is widely cared by the international experts in the fields of Artificial Intelligence (Al) and Database.The mining of association rules in the databases of transactions is one of the most important subjects in the field of DM. At the present time, the mining of association rules in the databases of transactions is mostly applied to the merchandise field, for example, the control of the sales in super markets, etc. The present applications of association rules mining in industrial process are not profound. As the merchandise field, there are also a lot of association rules in industrial process. For example, the outcome of one kind of product is associated with the outcome of the other kind of product.The main topic of this thesis is how to apply the technique of association rules mining to the industrial process and make the association rules use of the decision making in the industrial process. This thesis is based on the theory of association rules mining and objected to the practical application of the industrial process. In this thesis, the algorithm of association rules mining is improved and the program of the application of the mining algorithm is presented. The main work could be stated as follows:In Chapter 1, the main contents of DM, the classification of various DM methods and prospects are summarized, especially the history and status about DM methods.In Chapter 2, the basis of association rule mining technique is introduced, including the history and status about association rules mining methods.In Chapter 3, the effective Adaptive-Support Boolean algorithm for mining association rules is presented, including the Adaptive-Support frame of the algorithm and its Boolean fundamentals.In Chapter 4, the program of the association rules mining algorithm's application to the process of Triazophos is presented.In Chapter 5, A method of failure diagnosis based on an algorithm of mining association rules with multiple minimum supports is presented.This method is applied to the failure diagnosis of process.The simulation results show that the proposed method is effective for the failure diagnosis.Chapter 6 concludes with a summary and discussions of future and prospective research on open problems.