Improved K-Means Clustering Algorithm for Big Data Mining under Hadoop Parallel Framework-Reference-Cited by-同舟云学术

Improved K-Means Clustering Algorithm for Big Data Mining under Hadoop Parallel Framework

Published:2019-12-20 Issue:2 Volume:18 Page:239-250
ISSN:1570-7873
Container-title:Journal of Grid Computing
language:en
Short-container-title:J Grid Computing

Author:

Lu Weijia

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

http://link.springer.com/content/pdf/10.1007/s10723-019-09503-0.pdf

Reference26 articles.

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2. Saeed, Z., Abbasi, R.A., Maqbool, O., et al.: What’s happening around the world? A survey and framework on event detection techniques on twitter. J. Grid Comput. 17(2), 1–34 (2019)

3. Righi, R.D.R., Lehmann, M., Gomes, M.M., et al.: A survey on global management view: toward combining system monitoring, resource management, and load prediction. J. Grid Comput. 17(9), 1–30 (2019)

4. Salabat, K., Amir, K., Muazzam, M., et al.: Optimized Gabor feature extraction for mass classification using cuckoo search for big data E-healthcare. J. Grid Comput. 17(2), 239–254 (2019)

5. Bandyopadhyay, S.S., Halder, A.K., Chatterjee, P., et al.: HdK-means: Hadoop based parallel K-means clustering for big data IEEE Calcutta Conference, pp. 452–456 (2018)

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