Classification in e-procurement

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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 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.

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Item Type Article
URI https://centaur.reading.ac.uk/id/eprint/39677
Identification Number/DOI 10.1504/IJAPR.2014.065770
Refereed Yes
Divisions Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
Uncontrolled Keywords classification; feature selection; noise reduction; e-procurement.
Publisher Inderscience Publishers
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