Application Of Associations Rules Mining On Logistics Website

Data Mining as database fields in the hot, being more concerned about its mandate from the large amounts of data found useful data, which implied from, people do not know in advance but potentially useful information and knowledge. Data mining is the current international databases and information on the forefront of decision-making in the direction of one of the study, based on association rules excavation is one of the important research methods have important theoretical value and broad application prospects.Mining Association Rules is the discovery of large amounts of data collected in the correlation between interesting or relevant connection. Business records from a host of things found interesting relationships can help many business decision making, such as the classification of design, and the cross-shopping at an analysis. Association rules in the classical algorithm is Apriori algorithm, but it has two fatal performance bottlenecks: Scanning Service database repeatedly take a good deal of I / O load and may generate huge Itemsets. Based on space projects lattice theory ISS-DM algorithm good Apriori algorithm overcomes the shortcomings.This paper focuses on the following aspects of work:(1) Research on Data Mining.(2) The association rules algorithm (especially Apriori algorithms, ISS-DM Algorithm) for further study and propose an efficient algorithm association rules (ISS-DM^-1 ).(3) The design and development of Dalian drift-nets, including preliminary design, detailed design and software development. Dalian of drift-net mainly includes maritime center, ground transportation center, and air cargo center and management systems. This paper mainly to the association rules on Dalian drift-net as the background. The developed system is now in normal operation.(4) In theory, and research association rules on the basis of the modified algorithm used in Dalian of drift-net system, good results.