Research Of Decision Tree Based Decision Support Applications For Container Yard

Container yard enterprise information systems with business decision supportcapabilities with the port industry, increased competition, and grasp the developmentopportunities for enterprises of great significance. At present, yard in order to extractinformation, mining rules and be able to be assisted from the two aspects of enterprisedevelopment, strategic planning and tactical skills of production management to developobjective and business strategy to adapt to the times is very immature. On the one hand, theexisting MIS or ERP of yard services in day-to-day affairs of operation, low utilization rate ofits data, analysis of the decision-making capacity. On the other hand, the yard’s businessmodel is diverse, complex operation links the development of the rapid changes in thecharacteristics of the mining task variables. In this paper, the use of a data warehouse toextract the data integration, and compare the use of two kinds of decision tree algorithms fordata mining, analysis yard yield a variety of business models.First, in order to analyze the yield of the business model, the business model of the yardmust be established. This paper reviews the day-to-day business operations, the relationshipbetween the required data from the point of view of the business users of enterprise contentand data abstraction, making charts and event graph, provides the business logic for theanalysis of data.Second, build a business data warehouse, because the rear yard of the business of therunning operating in real-time database transaction processing requirements are relativelyhigh, and not on direct mining. Moreover, the data warehouse can also detail data summaryand deepen the understanding of the data using OLAP, and laid the foundation for the datamining.Third, because the analysis is a classification problem, the article uses the classificationmining model more suitable for large data environment, decision tree algorithm. Yard diversebusiness models, complex operation links the development of rapid changes, increasedmining task variables. Accordingly, use of C5.0and CART decision tree algorithm analysisand verification of business data, and the discovery of new knowledge that can be used toassist in decision-making.Ultimately, through the effective use of information technology the current yard businessmodel analysis, the paper draw reliable conclusions for their own characteristics. And to makedecision support in terms of business focus, pricing strategies to obtain some economic andsocial benefits.