A Data Mining Approach to Predict E-Commerce Customer Behaviour-Reference-Cited by-同舟云学术

A Data Mining Approach to Predict E-Commerce Customer Behaviour

Published:2018-08-15 Issue: Volume: Page:29-43
ISSN:
Container-title:Proceedings of the International Symposium for Production Research 2018
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Author:

Altunan Büşra,Arslan Ebru D.,Seyis Merve,Birer Merve,Üney-Yüksektepe Fadime

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-92267-6_3

Reference13 articles.

1. Hernández S, Álvarez P, Fabra J, Ezpeleta J (2017) ‘Analysis of users’ behavior in structured e-commerce websites. IEEE 5:11941–11958

2. Ismail M, Ibrahim MM, Sanusi ZM, Nat M (2015) Data mining in electronic commerce: benefits and challenges. Int J Commun Netw Syst Sci 8:501–509

3. Satish B, Sunil P (2012) Study and evaluation of user’s behavior in e-commerce using data mining. Res J Recent Sci 1:375–387

4. Jia W, Zhou H, Shi Y (2017) Optimization of data-mining-based e-commerce enterprise marketing strategy. Revista de la Facultad de Ingenieraí U.C.V 32(13):273–278

5. Çığşar B (2017) Kredi risklerinde veri madenciliği sınıflandırma algoritmaları. Unpublished MS thesis, Çukurova Üniversitesi, Adana

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