Bibliometric analysis of support vector machines research trend: a case study in China-Reference-Cited by-同舟云学术

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Bibliometric analysis of support vector machines research trend: a case study in China

Published:2019-11-04 Issue:3 Volume:11 Page:715-728
ISSN:1868-8071
Container-title:International Journal of Machine Learning and Cybernetics
language:en
Short-container-title:Int. J. Mach. Learn. & Cyber.

Author:

Yu Dejian,Xu Zeshui,Wang Xizhao

Funder

Ministry of Education of Humanities and Social Science project

Qinglan Project of Jiangsu Province of China

National Natural Science Foundation of China

Natural Science Research Project of Jiangsu Higher Education Institutions

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

http://link.springer.com/content/pdf/10.1007/s13042-019-01028-y.pdf

Reference65 articles.

1. Wu X et al (2013) Data mining with big data. IEEE Trans Knowl Data Eng 26(1):97–107

2. Lin MW et al (2018) Clustering algorithms based on correlation coefficients for probabilistic linguistic term sets. Int J Intell Syst 33(12):2402–2424

3. Rygielski C, Wang JC, Yen DC (2002) Data mining techniques for customer relationship management. Technol Soc 24(4):483–502

4. Wang XZ et al (2005) A genetic algorithm for solving the inverse problem of support vector machines. Neurocomputing 68:225–238

5. Jun Lee S, Siau K (2001) A review of data mining techniques. Ind Manag Data Syst 101(1):41–46

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