Simplifying E-Commerce Analytics by Discovering Hidden Knowledge in Big Data Clickstreams

Author:

Xylogiannopoulos Konstantinos F.ORCID,Karampelas PanagiotisORCID,Alhajj Reda

Publisher

Springer International Publishing

Reference35 articles.

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2. eMarketer, Worldwide retail ecommerce sales will reach $1.915 trillion this year (2016), https://www.emarketer.com/Article/Worldwide-Retail-Ecommerce-Sales-Will-Reach-1915-Trillion-This-Year/1014369 . Accessed 20 May 2018

3. Juniper Research, Online physical goods sales to account for 13% of $30 trillion retail market by 2020 (2018), https://www.businesswire.com/news/home/20180409005544/en/Juniper-Research%2D%2D-Online-Physical-Goods-Sales/ . Accessed 20 May 2018

4. T.N. Chandramohan, B. Ravindran, A neural attention based approach for clickstream mining, in Proceedings of the ACM India Joint International Conference on Data Science and Management of Data (ACM, 2018), pp. 118–127

5. A.L. Montgomery, S. Li, K. Srinivasan, J.C. Liechty, Modeling online browsing and path analysis using clickstream data. Mark. Sci. 23(4), 579–595 (2004)

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