COMPARISON OF DATA MINING TECHNIQUES FOR DIRECT MARKETING CAMPAINGS
Abstract
Keywords
References
- [1] Moro, S., Laureano, R.M.S., Cortez, P., “Using Data Mining for Bank Direct Marketing: An Application of the CRISP – DM Methodology”, Proceedings of the European Simulation and Modeling Conference, ESM’2011, 117-121, Guimarães, Portugal, October, 2011.
- [2] Budak, H.,Erpolat, S., (2012), Kredi risk tahmininde yapay sinir ağları ve lojistik regresyon analizi karşılaştırılması, AJIT‐e: Online Academic Journal of Information Technology, 3 (9), 23-30.
- [3] Das, R., (2010), A comparison of multiple classification methods for diagnosis of Parkinson disease, Expert Systems with Applications, 37 (2010), 1568-1572.
- [4] Khemphila, A., Boonjing, V., “Comparing performances of logistic regression, decision trees, and neural networks for classifying heart disease patients”, International Conference on Computer Information Systems and Industrial Management Applications (CISIM), AGH University of Science and Technology, 193-198, Cracow, Poland, October, 2010.
- [5] SAS, (2007), “Applied Analytics Using SAS® Enterprise Miner™ 5 Course Notes, NC, USA, SAS Institute Inc..
- [6] Berry, M.J.A., Linoff, G.S., (1999), “Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management”, John Wiley&Sons, Inc., 3rd Edition, p. 888.
- [7] Nash, E., (2000), “Direct Marketing: Strategy, Planning, Execution”, McGraw Hill Professional, 4th Edition, p. 600.
- [8] Emel, G.G., Taşkın, Ç., (2005), Veri madenciliğinde karar ağaçları ve bir satış analizi uygulaması, Eskişehir Osmangazi Üniversitesi Sosyal Bilimler Dergisi, 6 (2), 221-239.
Details
Primary Language
English
Subjects
-
Journal Section
Research Article
Authors
Esra Akdeniz Duran
This is me
Türkiye
Ayça Pamukcu
This is me
Türkiye
Hazal Bozkurt
This is me
Türkiye
Publication Date
June 1, 2014
Submission Date
July 27, 2013
Acceptance Date
February 5, 2014
Published in Issue
Year 2014 Volume: 32 Number: 2