Competent K-means for Smart and Effective E-commerce

Author:

Gujarathi Akash,Kawathe Shubham,Swain Debashish,Tyagi Subham,Shirsat Neeta

Publisher

Springer Singapore

Reference7 articles.

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2. R. Agrawal, R. Srikant, Fast algorithm for mining association rules in large databases, in Proceedings of the 20th International Conference Very Large Databases, San Francisco: Morgan Kaufmann Publishers Inc. pp. 487–499

3. M. Emre Celebi, H.A. Kingraci, P.A. Vela, A comparative study of efficient initialization methods for the K-means clustering algorithm. Expert Syst. Appl. 40, 200–210 (2013)

4. E. Tkacz, A. Kapczynski, Internet—Technical Development and Applications (Springer, Berlin 2009), p. 255, ISBN 978-3-642-05018-3, 2011

5. Survey.nasscom.in. India to be $100bn e-commerce industry by 2020| NASSCOM. [online] Available at: http://survey.nasscom.in/india-be-100bn-ecommerce-industry-2020 . Accessed 4 Jan 2017

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