Big Data Clustering: Applying Conventional Data Mining Techniques in Big Data Environment-Reference-Cited by-同舟云学术

Big Data Clustering: Applying Conventional Data Mining Techniques in Big Data Environment

Published:2019 Issue: Volume: Page:509-516
ISSN:2367-3370
Container-title:Innovations in Computer Science and Engineering
language:
Short-container-title:

Author:

Praveen P.,Jayanth Babu Ch.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-7082-3_58

Reference15 articles.

1. Praveen P, Babu CJ, Rama B ( 2016) Big data environment for geospatial data analysis. In: 2016 international conference on communication and electronics systems (ICCES), Coimbatore, pp 1–6

2. Xu Z, Shi Y (2015) Exploring big data analysis: fundamental scientific problems. Ann Data Sci 2(4):363–372

3. Laney, D (2001) 3D data management: controlling data volume, velocity and variety. Technical Report 949, META Group. Accessed https://blogs.gartner.com/doug-laney/files/2012/01/ad949-3D-Data-Management-Controlling-Data-Volume-Velocity-and-Variety.pdf

4. Demchenko Y, Grosso P, De Laat C, Membrey P (2013, May) Addressing big data issues in scientific data infrastructure. In: Proceedings of the 2013 international conference on collaboration technologies and systems (CTS), pp 48–55. IEEE, Chicago

5. Fahad A, Alshatri N, Tari Z, Alamri A, Khalil I, Zomaya AY, Bouras A (2014) A survey of clustering algorithms for big data: Taxonomy and empirical analysis. IEEE Trans Emerg Top Comput 2(3):267–279

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