Data clustering in distributed monitoring systems-Reference-Cited by-同舟云学术

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Data clustering in distributed monitoring systems

Published:2019-04-19 Issue:2 Volume: Page:35-43
ISSN:2541-8610
Container-title:Information and Control Systems
language:
Short-container-title:Informacionno-upravlâûŝie sistemy

Author:

Rukavitsyn A. N.¹^ORCID

Affiliation:

1. Saint-Petersburg Electrotechnical University «LETI»

Publisher

State University of Aerospace Instrumentation (SUAI)

Subject

Control and Optimization,Computer Science Applications,Human-Computer Interaction,Information Systems,Control and Systems Engineering,Software

Reference37 articles.

1. Catarinucci L., et al. An IoT-aware architecture for smart healthcare systems. IEEE Internet of Things Journal, 2015, vol. 2, no. 6, pp. 515-526.

2. Andreu-Perez J., et al. From wearable sensors to smart implants — toward pervasive and personalized healthcare. IEEE Transactions on Biomedical Engineering, 2015, vol. 62, no. 12, pp. 2750-2762.

3. Del Vecchio P., et al. Creating value from social big data: Implications for smart tourism destinations. Information Processing & Management, 2018, vol. 54, no. 5, pp. 847-860.

4. Bendechache M., Kechadi M. T., Le-Khac N. A. Efficient large scale clustering based on data partitioning. Data Science and Advanced Analytics (DSAA), 2016 IEEE Intern. Conf., 2016, pp. 612-621.

5. Aouad L. M., Le-Khac N. A., Kechadi T. M. Lightweight clustering technique for distributed data mining applications. Industrial Conf. on Data Mining, Springer, Berlin, Heidelberg, 2007, pp. 120-134.

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