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The Research And Application Of Data Mining In Railway Bill Of Lading Marking Decision Support System

Posted on:2006-02-19Degree:MasterType:Thesis
Country:ChinaCandidate:Y G HeFull Text:PDF
GTID:2168360155461913Subject:Software engineering
Abstract/Summary:PDF Full Text Request
The Base of this dissertation is Railroad Freight Transportation Marketing Decision Support System. We research into the application of DM technology in the fact item. Using Model not only should pay attention to the ration model but also pay attention to finalize the design model. The Basis of the types of freight Marketing , we partition the model to The client management model, The Marketing combination analysis Model, The Marketing merit system model, The transport forecast model, The economy influence analysis model, The competitor analysis. I study and exploit The transport forecast model.The single forecast model isn't adapt to a unitary freight forecast model, So we must advisement multidimensional model, for example the growth curve match model, cubic smoothness exponential match model, network model etc, these model has themselves advantage. BP NN arithmetic be used freight forecast model.But in actual lesson a research oneself discover, then good calculate way, model, even is model that the data characteristic that the software all needs the very firm profession experience, how to mining the calculate way with the better application in characteristic in workflow data according to the different profession, the design meets the profession demand with software change count for much .In regard DM, the data of the railroad profession compares the complicated regulation is not very strong, finance, the data of insurance etc. profession have the good regulation apt to mining, under such circumstance will beg the calculate way that DM applied to put forward the higher request with the design of the model.This lesson an applied foreground for of research primarily is to relating to type data in the database proceeding excavation, but in the future DM will be very extensive, the single relation type DM to have can't satisfy people demand, text this document, picture, the excavation of medium etc. information also will change more and more important .So the future the object that DM will be more and more extensive, profession that application DM too more and more extensive. This lesson a high tide for of research and items realizing, will arousing domestic to the railroad freight transportation profession DM, the DM application in railroad profession did to contribute.
Keywords/Search Tags:Data Visualization, Data Mining, Marketing Decision Supports System, Railway bill of lading, Knowledge Discovery in Database
PDF Full Text Request
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