A Novel Approach for Classification of Real Time Data Stream to Reduce Query Processing Time

Author:

Dani VirendraORCID,Kokate Priyanka,Goyal Jyotsana

Publisher

Springer Nature Switzerland

Reference11 articles.

1. Wares, S., Isaacs, J., Elyan, E.: Data stream mining: methods and challenges for handling concept drift. SN Appl. Sci. 1(11), 1–19 (2019). https://doi.org/10.1007/s42452-019-1433-0

2. What is Streaming Data? https://aws.amazon.com/streaming-data/

3. Hahsler, M., Bolanos, M., Forrest, J.: Introduction to stream: an extensible framework for data stream clustering research with R. J. Stat. Softw. 76, 1–50 (2015)

4. Reddy, P.B., Kumar, C.H.S.: A simplified data processing in MapReduce. (IJCSIT) Int. J. Comput. Sci. Inf. Technol. 7(3), 1400–1402 (2016)

5. Rammer, D., Pallickara, S.L., Pallickara, S.: Atlas: a distributed file system for spatiotemporal data. In: Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing, pp. 11–20 (2019)

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