Rinzivillo Salvatore, Ruggieri Salvatore
classification rules spatial visualization spatial classification interestingness measures
We present a knowledge discovery case study on customer classification having the objective of mining the distinctive characteristics of new customers of a service of tax return. Two general approaches are described. The first one, a symbolic approach, is based on extracting and ranking classification rules on the basis of significativeness measures defined on the 4-fold contingency table of a rule. The second one, a spatial approach, is based on extracting geographic areas with predominant presence of new customers.
Source: Emerging Intelligent Technologies in Industry, edited by Dominik Ry?ko, Henryk Rybi?ski, Piotr Gawrysiak, Marzena Kryszkiewicz, pp. 307. Berlin/Heidelberg: Springer-Verlag, 2011
Publisher: Springer-Verlag, Berlin/Heidelberg, DEU
@inbook{oai:it.cnr:prodotti:204509, title = {Who/where are my new customers?}, author = {Rinzivillo Salvatore and Ruggieri Salvatore}, publisher = {Springer-Verlag, Berlin/Heidelberg, DEU}, doi = {10.1007/978-3-642-22732-5_25}, booktitle = {Emerging Intelligent Technologies in Industry, edited by Dominik Ry?ko, Henryk Rybi?ski, Piotr Gawrysiak, Marzena Kryszkiewicz, pp. 307. Berlin/Heidelberg: Springer-Verlag, 2011}, year = {2011} }