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Cash Demand Forecasting in ATMs by Clustering and Neural Networks

KAMINI, V.; RAVI, V.; PRINZIE, A.; POEL, D. VAN DEN - Faculteit Economie en Bedrijfskunde, Universiteit Gent - 2013

yielded much smaller SMAPE values than the approach of direct prediction on the entire sample without clustering. From a …To improve ATMs’ cash demand forecasts, this paper advocates the prediction of cash demand for groups of ATMs with … series model for each ATMs. For clustering, the succession of 7 continuous daily withdrawal seasonality parameters of ATMs is …

Persistent link: https://www.econbiz.de/10011083095

Implicit Contracts and Price Stickiness: Evidence from Customer-Level Scanner Data

VERHELST, B.; POEL, D. VAN DEN - Faculteit Economie en Bedrijfskunde, Universiteit Gent - 2012

This paper uses scanner data at the individual customer level, compiled from the loyalty card database of a European retailer, to determine the importance of implicit contracts as a source of price stickiness. Drawing from Customer Relationship Management (CRM), we use segmentation techniques...

Persistent link: https://www.econbiz.de/10011083106

Defining and Validating Metrics for Assessing the Maintainability of Entity-Relationship Diagrams

GENERO, M.; POELS, G.; PIATTINI, M. - Faculteit Economie en Bedrijfskunde, Universiteit Gent - 2003

Database and data model evolution is a significant problem in the highly dynamic business environment that we experience these days. To support the rapidly changing data requirements of agile companies, conceptual data models, which constitute the foundation of database design, should be...

Persistent link: https://www.econbiz.de/10004983080