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Research On Port Customer Classification And Business Decision System Based On Web Data

Posted on:2018-10-18Degree:MasterType:Thesis
Country:ChinaCandidate:J Y ZhangFull Text:PDF
GTID:2348330512979425Subject:Information management
Abstract/Summary:PDF Full Text Request
Port,an important place for the distribution and trades of goods,is an transport hub for nationals and regionals.With the change of supply and demand in port service market in recent years,port enterprises that seeking more long-term development are trying to adopt traditional business intelligence technology to assist their decision-making.However,the traditional business intelligence technology focuses only on the analysis of structured data within the enterprise,for the external unstructured data processing there is a big limitation,which leads to its poor application effect.Aiming at this problem,the paper proposes a port customer classification method based on Web data mining.By collecting and processing the unstructured data outside the enterprise,and extracting the relevant information of port customers,then applying technologies such as text classification,distributed calculation and analytic hierarchy process,and so on,this paper supposed to establish a comprehensive and three-dimensional characterization for port customers by using both external data and port internal data.This paper takes the status of information technology of a port at Guangzhou as research background,and combines external and internal data as a way to solve port classification problem to make management decision-making on port enterprise customer.Based on the research of customer management theory and text classification methods,the following research is done:Firstly,the comprehensive classification index system of port customers is establishedby retriving the external data of port customers through the web crawler technology and transforming them into the classification index;Secondly,the port customer classification model based on internal and external data is established.Thirdly,combining the customer management theory and port business process,the paper makes targeted service decision analysis on the customer classification result combining internal and external data.Finally,the design of a port customer business decision system is realized by using distributed computing technology and J2EE technology.
Keywords/Search Tags:Data mining, Customer classification, External data, Neural network, Text classification, Business decision
PDF Full Text Request
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