Classification in e-procurement

被引:1
|
作者
Roberts, Paul J. [1 ]
Mitchell, Richard J. [2 ]
Ruiz, Virginie F. [2 ]
Bishop, J. Mark [3 ]
机构
[1] UK plc, 5 Jupiter House,Calleva Pk, Aldermaston RG7 8NN, England
[2] Univ Reading, Sch Syst Engn, Reading RG6 6AY, Berks, England
[3] Univ London, Dept Comp, London SE14 6NW, England
关键词
classification; feature selection; noise reduction; e-procurement;
D O I
10.1504/IJAPR.2014.065770
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Three coupled knowledge transfer partnerships used pattern recognition techniques to produce an e-procurement system which, the National Audit Office reports, could save the National Health Service 500 pound m per annum. An extension to the system, GreenInsight, allows the environmental impact of procurements to be assessed and savings made. Both systems require suitable products to be discovered and equivalent products recognised, for which classification is a key component. This paper describes the innovative work done for product classification, feature selection and reducing the impact of mislabelled data.
引用
收藏
页码:298 / 314
页数:17
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