Time-Series Outlier Detection Using Enhanced K-Means in Combination with PSO Algorithm-Reference-Cited by-同舟云学术

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Time-Series Outlier Detection Using Enhanced K-Means in Combination with PSO Algorithm

Published:2018-10-31 Issue: Volume: Page:363-373
ISSN:1876-1100
Container-title:Engineering Vibration, Communication and Information Processing
language:
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Author:

Kant Neha,Mahajan Manish

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-1642-5_33

Reference10 articles.

1. Kamble, B., Doke, K.: Outlier detection approaches in data mining. Int. Res. J. Eng. Technol. (IRJET, March) 3(3) 2017

2. Zhang, J.: Advancement of outlier detection: a survey. ICST Trans. Scalable Inf. Syst. (2013)

3. Ma, J., Perkins, S.: Online Novelty Detection on Temporal Sequences. Aureon Biosciences corporation Yonkers NY, USA (2003)

4. Gupta, M., Gao, J., Aggarwal, C.C., Han, J.: Outlier detection for temporal data: a survey. IEEE Trans. Knowl. Data Eng. (2014)

5. Yadav, J., Sharma, M.: A review of K-mean algorithm. Int. J. Eng. Trends Technol. (IJETT) 4(7) 2013

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