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Classification in e-procurement

Roberts, P. J., Mitchell, R., Ruiz, V. and Bishop, M. (2014) Classification in e-procurement. International Journal of Applied Pattern Recognition, 1 (3). pp. 298-314. ISSN 2049-8888

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To link to this item DOI: 10.1504/IJAPR.2014.065770

Abstract/Summary

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 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.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
ID Code:39677
Uncontrolled Keywords:classification; feature selection; noise reduction; e-procurement.
Publisher:Inderscience Publishers

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