Research On Association Rules Mining Algorithm Base On Compressed Matrix And Its Application

Nowadays, techniques of automation and database have been applied into more and more production systems. The process data sampled from fields has great values for process monitoring and controlling, parameter optimization, product quality, and production management. Which provide a great opportunity to the application of data mining technology in industrial process.Association rules mining is the important technique in the field of data mining. It is widely applied in the area of economic, financial, scientific observation and engineering, and it's the focus of current research. In this paper, we have an in-depth study to association rule mining technology. We improve the algorithm for special areas, and it is applied to the practical industrial process. At first, the overview of association rules mining technology is introduced, and the focus and difficulties of current study are presented. The characteristics of data mining to complex industrial process are presented. Then, this paper describes the basic concept and algorithm theory on association rules mining techniques, and specified the various situations and methods in pretreatment data.This paper describes the basic association rule mining framework, a few of classic association rules are deeply discussed, and analyzed the problems existing in the algorithms. On this basis, a new association rules mining algorithm based on compressed matrix (CMApriori algorithm) is presented. The innovation of algorithm based on matrix for finding frequent item sets. It only needs to scan the transaction database once to covert it into a Boolean matrix and let bit string do logical"and"operation to judge whether a particular item set is frequent. It can get rid of scanning the original transaction database repeatedly. Theoretical ana1ysis and experiment results indicate that the new CMApriori algorithm is more effective and efficient.Finally, the application of associating rules mining algorithm in alumina rotary kiln control is introduced. The paper presents the design framework based on association rules mining algorithm. In the field test, the above function modules made good running effect.