Title :
Classification in e-procurement
Author :
Roberts, P.J. ; Mitchell, R.J. ; Ruiz, V.F. ; Bishop, J.M.
Author_Institution :
@UK plc, Aldermaston, UK
Abstract :
A three year Knowledge Transfer Partnership between @UK plc, University of Reading and Goldsmiths College, London produced an e-procurement system called SpendInsight which the National Audit Office reports could save the NHS Σ500 million per annum. An extension to the system, GreenInsight, enables procurers to assess the environmental impact of their purchases and hence make savings there. Key to these systems is the ability to classify products from different sources. This paper focusses on the classification techniques used for analyzing product data, and the research which shows that the normal best method for text classification is not the best here.
Keywords :
pattern classification; procurement; Goldsmiths college; University of reading; e-procurement classification; e-procurement system; knowledge transfer partnership; national audit office; text classification; Accuracy; Educational institutions; Noise; Standards; Support vector machines; Text categorization; Training; Classification; e-procurement;
Conference_Titel :
Cybernetic Intelligent Systems (CIS), 2012 IEEE 11th International Conference on
Conference_Location :
Limerick
DOI :
10.1109/CIS.2013.6782151
