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Application And Research Of Data Mining In Sales Management For Iron And Steel Enterprises

Posted on:2018-07-14Degree:MasterType:Thesis
Country:ChinaCandidate:S Q RongFull Text:PDF
GTID:2359330569485841Subject:Computer technology
Abstract/Summary:PDF Full Text Request
Because the steel enterprises have paid much attention to automation andinformationization for a long time,almost all the large steel enterprises have a good information system.Now the systems have accumulated a large amount of data,the data provides a good foundation for data mining.In recent years,steel sales get thin margins,competition is fierce.Companies use a variety of means to increase income.IF the enterprise can find a way to use the knowledge in them,it will bring great benefits for the management and income.With urgent demand of the steel enterprises and the good foundation of information,at the same time we have technical means of data mining,so we should use the data mining technology to raise the level of enterprise sales management as soon as possible.The application of data mining in the sales management of steel enterprises must bring big returns.This paper focuses on the application requirements of an iron and steel enterprise group and uses methods of data mining to build a mining theme which can predict the price of steel sales.The data mining uses a large number of historical sales data,and the discovery of knowledge improve the management level of the enterprises very much.In this paper,the data mining function module uses Oracle data warehouse as a database,and Java as a development language,use bayesian Dynamic Linear Price Models(DLPM)as a algorithm model.The predicted value has important reference value for managers to make decisions.The function module of data mining based on naive bayesian theory.Through the attribute reduction,we compress the mining data further,and get a more concise and higher quality mining data.Data conversion is responsible for convert the cleaned sale data into a suitable format for mining.As the data are of good quality and compression effect is obvious,we do our data mining process very well.The system has been tested and proven to be useful in practice.It is good at price forecasting of steel sales,and also can be promoted in the field of steel industry.
Keywords/Search Tags:Dynamic Linear Price Models(DLPM), Data mining, Price forecasting, Steel sales
PDF Full Text Request
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