Please use this identifier to cite or link to this item:
|Title:||Detecting price outliers in European trade data with the forward search.|
|Authors:||PERROTTA DOMENICO; TORTI Francesca|
|JRC Publication N°:||JRC40853|
|Type:||Articles in books|
|Abstract:||We describe empirical work in the domain of clustering and outlier detection, for the analysis of European trade data. It is our first attempt to evaluate benefits and limitations of the forward search approach for regression and multivariate analysis [2, 3], within a concrete application scenario and in relation to a comparable backward method developed in the JRC by . Our findings suggest that the automatic clustering based on Mahalanobis distances may be inappropriate in presence of a high-density area in the dataset. Follow up work is discussed extensively in elsewere .|
|JRC Institute:||Institute for the Protection and Security of the Citizen|
Files in This Item:
There are no files associated with this item.
Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.