PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Rinzivillo S., Ruggieri S. Who/where are my new customers?. Dominik Ryzko, Henryk Rybinski, Piotr Gawrysiak, Marzena Kryszkiewicz (eds.). (Studies in Computational Intelligence, vol. 369). Berlin: Springer, 2011.
 
 
Abstract
(English)
Abstract. 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.
URL: http://www.springerlink.com/content/r08663302ru44403/
DOI: 10.1007/978-3-642-22732-5_25
Subject classification rules, interestingness measures, spatial classi- fication, spatial visualization
H.2.8 Database Applications Data mining
68T20 Problem solving (heuristics, search strategies, etc.)


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