| Data Mining(Data Mining)is the mean that extract the implicit,unknown,potential value knowledge and rule from large amount and not complete data in order to help decision—making.It combines many fields of theory and technology including database,artificial intelligence,machine learning and statistics.With the development of information,network and intelligence,critical knowledge for large amounts of modem logistics data are hidden in the logistics enterprise management process.Therefore,the use of association rules,decision trees and other data mining algorithms can quickly find the valuable knowledge and information.They become the enabling theory for a logistics company to decision analysis,effectively manage customer relationships and enhance the market competitive advantage.This paper explores the application of modem logistics management base on data mining.It analyses the current primary problems in data mining algorithms,and presents a more complete performance of the mining algorithm HEFFIA.Meanwhile,the paper improves the information theory for the decision tree in the application of logistics decision-making system,the method of rough set attributes reduction by the attribute importance is used to build a decision tree classification algorithm which resulting in ail effective enterprise rules.Combining the rough set with the decision tree Can obtain the more quick, simple and effective decision-making rules,improve the customer relationship management and enhance their competitive advantage. KEYWORDS:logistics; association rules;decision tree... |
