Ghent University Academic Bibliography

Your filters: cql: author="VIAENE, S" or (type any "bookEditor issueEditor" and editor="VIAENE, S")

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- Conference Paper
- P1
Proof running two state-of-the-art pattern recognition techniques in the field of direct marketing

S Viaene, B Baesens, G Dedene, J Vanthienen and Dirk Van den Poel (UGent)

(2002) ENTERPRISE INFORMATION SYSTEMS IV. p.125-133
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- Journal Article
- A1
Bayesian neural network learning for repeat purchase modelling in direct marketing.

B BAESENS, S VIAENE, Dirk Van den Poel (UGent) , J VANTHIENEN and G DEDENE

(2002) EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. 138(1). p.191-211
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- Conference Paper
- C1
The Bayesian Evidence Framework for Database Marketing Modeling using both RFM and Non-RFM Predictors.

S VIAENE, B BAESENS, Dirk Van den Poel (UGent) , J VANTHIENEN and G DEDENE

(2001) Proceedings of the 5th World Multi-Conference on Systemics, Cybernetics and Informatics (SCI 2001), Orlando, Florida, USA, Volume X, July. p.136-140
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- Journal Article
- A2
Wrapped input selection using multilayer perceptions for repeat-purchase modeling in direct marketing

S Viaene, B BAESENS, Dirk Van den Poel (UGent) , G Dedene and J Vanthienen

(2001) INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS IN ACCOUNTING, FINANCE & MANAGEMENT. 10(2). p.115-126
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- Journal Article
- A1
Knowledge discovery in a direct marketing case using least squares support vector machines.

S VIAENE, B BAESENS, T VAN GESTEL, J SUYKENS, Dirk Van den Poel (UGent) , J VANTHIENEN, B DE MOOR and G DEDENE

(2001) INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS. 16(9). p.1023-1036
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- Journal Article
- A1
Distance measures for information system reengineering

Geert Poels (UGent) , S VIAENE and G DEDENE

(2000) ADVANCED INFORMATION SYSTEMS ENGINEERING. 1789. p.387-400
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- Book Chapter
Wrapped feature selection for binary classification Bayesian regularisation neural networks: a database marketing application

S VIAENE, B BAESENS, Dirk Van den Poel (UGent) , G DEDENE, J VANDENBULCKE and J VANTHIENEN

(2000) Data mining II. p.353-362
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- Conference Paper
- C1
Knowledge Discovery using least squares support vector machine classifiers: a direct marketing case

B BAESENS, S VIAENE, T VAN GESTEL, JAK SUYKENS, Dirk Van den Poel (UGent) , J VANTHIENEN, B DE MOOR and G DEDENE

(2000) Proceedings of the 4th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), 2000, September 13-16, Lyon, France.

Academic Bibliography

Proof running two state-of-the-art pattern recognition techniques in the field of direct marketing

Bayesian neural network learning for repeat purchase modelling in direct marketing.

The Bayesian Evidence Framework for Database Marketing Modeling using both RFM and Non-RFM Predictors.

Wrapped input selection using multilayer perceptions for repeat-purchase modeling in direct marketing

Knowledge discovery in a direct marketing case using least squares support vector machines.

Distance measures for information system reengineering

Wrapped feature selection for binary classification Bayesian regularisation neural networks: a database marketing application

Knowledge Discovery using least squares support vector machine classifiers: a direct marketing case

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