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Chinese Agricultural Science Bulletin

Abbreviation (ISO4): Chin Agric Sci Bull      Editor in chief: Yulong YIN

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Data Mining Analysis of Bidding Ability of Agricultural Products' Suppliers based upon Decision Tree

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Online published: 2004-02-04

Abstract

B2B is a major solution in the agricultural products electronic commerce at present, and in which the suppliers’ ability for bidding is very important to cope with the e-commerce-based agricultural products purchase through bidding. This paper proposes using data mining based on the algorithms for decision tree to classify the factors that influence the suppliers’ ability for bidding. We examine a cooperative website’s data warehouse, showing the process of applying data mining techniques, and some of the data issues, analysis problems, and results. The result mined by the algorithms for decision tree shows: the decreasing sequence of the influencing factors to the suppliers’ ability for bidding is: quoted price, time delivery performance, level of demand.

Cite this article

Sun Wei,Wan Xiaoning,Sun Linyan,Ma Yanan . Data Mining Analysis of Bidding Ability of Agricultural Products' Suppliers based upon Decision Tree[J]. Chinese Agricultural Science Bulletin, 2004 , 20(1) : 47 -47 . DOI: 10.11924/j.issn.1000-6850.040147

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