Big Data Analysis for Anomaly Detection in Telecommunication Using Clustering Techniques-Reference-Cited by-同舟云学术

Big Data Analysis for Anomaly Detection in Telecommunication Using Clustering Techniques

Published:2018-12-31 Issue: Volume: Page:111-121
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Gunavathi C.,Swarna Priya R. M.,Aarthy S. L.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-3329-3_11

Reference21 articles.

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3. D. Naboulsi, R. Stanica, M. Fiore, Classifying call profiles in largescale mobile traffic datasets, in IEEE Conference on Computer Communications, pp. 1806–1814. Toronto, ON, Canada (2014)

4. M. Ahmed, A. Anwar, A.N. Mahmood, Z. Shah, M.J. Maher, An investigation of performance analysis of anomaly detection techniques for big data in SCADA systems. EAI Endorsed Trans. Ind. Netw. Intell. Syst. 15(3), 1–16 (2015)

5. V. Soto, E. Frías-Martínez, Automated land use identification using cell-phone records, in 3rd ACM International Workshop on MobiArch, pp. 17–22. (2011)

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