Density based geospatial clustering: Methods, Applications and Future Directions-Reference-Cited by-同舟云学术

Density based geospatial clustering: Methods, Applications and Future Directions

Published:2022-08-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing
language:
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Author:

Kuila Richik¹,Sengupta Prathamesh¹,Rout Minakhi¹,Barik Rabindra K.²

Affiliation:

1. School of Computer Engineering, KIIT Deemed to be University, India

2. School of Computer Application, KIIT Deemed to be University, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3549206.3549278

Reference30 articles.

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3. Fog2Fog: Augmenting Scalability in Fog Computing for Health GIS Systems

4. Rabindra K Barik , Harishchandra Dubey , Arun B Samaddar , Rajan D Gupta , and Prakash K Ray . 2016. FogGIS: Fog Computing for geospatial big data analytics. In 2016 IEEE Uttar Pradesh section international conference on electrical, computer and electronics engineering (UPCON) . IEEE , 613–618. Rabindra K Barik, Harishchandra Dubey, Arun B Samaddar, Rajan D Gupta, and Prakash K Ray. 2016. FogGIS: Fog Computing for geospatial big data analytics. In 2016 IEEE Uttar Pradesh section international conference on electrical, computer and electronics engineering (UPCON). IEEE, 613–618.

5. Jonathan Bennett. 2010. OpenStreetMap. Packt Publishing Ltd. Jonathan Bennett. 2010. OpenStreetMap. Packt Publishing Ltd.

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