An Efficient Approach for Web Usage Mining Using ANN Technique-Reference-Cited by-同舟云学术

An Efficient Approach for Web Usage Mining Using ANN Technique

Published:2018-07-31 Issue: Volume: Page:55-63
ISSN:2522-5162
Container-title:System Performance and Management Analytics
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Author:

Agarwal Ruchi,Saxena Supriya

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-7323-6_5

Reference18 articles.

1. Prajyoti, L., & Bidisha, R. (2015). Dynamic recommendation system using web usage mining for e-commerce users. International Conference on Advanced Computing Technologies and Applications 2015.

2. Huang, Z., Zeng, D., & Chen, H. (2007). A comparative study of recommendation algorithms in e-commerce applications. IEEE Intelligent Systems, 22(5), 68–78.

3. Lee, J., Sun, M., & Lebanon, G. (2012). PREA: Personalized recommendation algorithms toolkit. The journal of Machine Learning Research, 13(1), 2699–2703.

4. Kusmakar, A., & Mishra, S. (2003). Web usage mining: a survey on pattern extraction from web log. International Journal of Advanced Research in Computer Science and Software Engineering, 3, 834–838.

5. Mulvenna, M. D., & Buchner, A. G. (1997). Data mining and electronic commerce. In Proceedings of of Overcoming Barriers to Electronic Commerce, pp.1–7.

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