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A Research Of Logistic Info System Based On Data Mining Technology

Posted on:2008-12-25Degree:MasterType:Thesis
Country:ChinaCandidate:Z H ZhuFull Text:PDF
GTID:2178360212476350Subject:Transportation planning and management
Abstract/Summary:PDF Full Text Request
The article explains the problems of the current logistic info systems which include the shortage in quick response, decision support, united plan and customer relationship. Such system may cause losses to companies whose operations relies on them in a long run because none of them can provide a deeper insights and views of the future business, therefore adopting Data Mining technology is a good solution to tackle with such problems.Generally, data mining is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue, cuts costs, or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases.In this article, how data mining are successfully embedded into EDI information system is introduced systematically, especially emphasizes on how to combine data mining into logistic information system in each stage of a customer lifecycle. A typical customer lifecycle includes potential customer, real customer and history customer, different strategies and methods must be deployed in light of different business natures. For example, Decision Tree in classification analysis performs well in customer classification and churn prediction, and, Association Rules Mining has high veracity in consuming habit discovery. Therefore, a good logistic info system that well-crafted with data mining technology enable the company goes beyond the traditional query and reporting tools and discover the new insights and preciousbusiness opportunities hidden in the data, helps the company to target on best customers, find and prevent fraud and making right decisions.The article also points out, even though nowadays data mining technology is gradually combined into logistic info system, it is still far away from a real mature system, with the fast expanding of Internet technology, such as Web Mining and Vertical Search Engine, so there are plenty opportunities in the market which helps the logistic industry to be well-developed in the future.
Keywords/Search Tags:data mining, data warehouse, decision tree, association rules, logistic info system
PDF Full Text Request
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