A Solution to Query Processing Challenges Through Smart Query Processor for Big Data Analytics-Reference-Cited by-同舟云学术

A Solution to Query Processing Challenges Through Smart Query Processor for Big Data Analytics

Published:2023-01-13 Issue:2 Volume:4 Page:
ISSN:2661-8907
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Vaidya Gendlal M.^ORCID,Kshirsagar Manali M.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Networks and Communications,Computer Graphics and Computer-Aided Design,Computational Theory and Mathematics,Artificial Intelligence,General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s42979-022-01581-4.pdf

Reference10 articles.

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3. Congkai B, Meiyang C. "Query optimization of massive social network data based on HBase". In: 4th IEEE international conference on big data analytics. Suzhou, China: IEEE Xplore; 2019. p. 94–97.

4. Dimitrios S, Olivier M. "Reducing data complexity in feature extraction and feature selection for big data security analytic". In: 1st International conference on data intelligence and security. Nanjing, China: IEEE Xplore; 2018. p. 43–48.

5. Rajanikanth A, Jabbar MA. “Handling data analytics on unstructured data using MongoDB”. In: Smart cities symposium. Bahrain: IEEE Xplore; 2018.