The impact of big data market segmentation using data mining and clustering techniques-Reference-Cited by-同舟云学术

The impact of big data market segmentation using data mining and clustering techniques

Published:2020-05-29 Issue:5 Volume:38 Page:6159-6173
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Yoseph Fahed¹²,Ahamed Hassain Malim Nurul Hashimah²,Heikkilä Markku¹,Brezulianu Adrian³,Geman Oana⁴,Paskhal Rostam Nur Aqilah²

Affiliation:

1. Faculty of Social Sciences, Business and Economics, Åbo Akademi University, Turku, Finland

2. Department of School of Computer Sciences, Universiti Sains Malaysia, Penang, Malaysia

3. Faculty of Electronics, Telecommunications and Information Technology, Gheorghe Asachi Technical University, Iaşi, Romania

4. Department of Health and Human Development, Stefan cel Mare University, Suceava, Romania

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference39 articles.

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2. Chorianopoulos A. and Tsiptsis K. , Data Mining Techniques in CRM: Inside Customer Segmentation, no. 21. John Wiley & Sons., 2010.

3. David A. and Vassilvitskii S. , k-means++: The advantages of careful seeding, Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms. Society for Industrial and Applied Mathematics, 2007.

4. Maximum Likelihood from Incomplete Data via the EM Algorithm;Dempster;J of the R Stat Soc Ser B,1977

5. Kak A. , Expectation-Maximization Algorithm for Clustering Multidimensional Numerical Data, Purdue University, 2017.

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