Research Of Data Mining Technology In Tianjin Subway Dynamic Database Based On Associated Mode

At present, the rapid development of new IT technology, e-commerce and the rapid popularization of the Internet has led to applications in various fields of the database to store a large amount of data contained in concentrate a lot of useful knowledge, so how to find a variety of large databases in the Hidden, unknown in advance of the effective application of information is particularly important that this data mining is to be completed. In recent years, foreign scholars put forward a series of data mining theory, the world's major IT companies such as IBM, Oracle and Microsoft have implemented their own, such as data mining products. Mining Association Rules data mining as an important branch of research, its main purpose is to focus on large-scale data found hidden, meaningful, between the law of property. Since the form of simple, easy to understand, and from large-scale data to extract the main means of knowledge, the association rule mining research and application has been databases, artificial intelligence and statistics, and other scholars in the field of great concern, and achieved A lot of research.Tianjin subway environmental control system (ECS) fault diagnosis key technology research projects funded under this article first study on the project with the constraints of the association rule mining method proposed EclateII improved algorithms to improve the original Eclate algorithm to make it less More suitable for Tianjin subway system, a database of the actual situation and to verify the theory; then put contained a vague numerical bound by the association rule mining algorithms, in particular the membership function of the set, and related methods proved theoretically that the method Feasibility; for the final in Tianjin Subway database data mining system design will be applied to a number of theories to practice, according to the present Tianjin subway system, the actual situation in the database, data mining algorithms and theory of the actual application of the issues raised by the combination study And discussion and propose solutions.