Empirical Analysis of Classification Algorithms in Data Stream Mining-Reference-Cited by-同舟云学术

Empirical Analysis of Classification Algorithms in Data Stream Mining

Published:2020-08-02 Issue: Volume: Page:657-669
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Masrani Aastha,Shukla Madhu,Makadiya Kishan

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-5113-0_53

Reference29 articles.

1. M. Jayswal, M. Shukla, Consolidated study & analysis of different clustering techniques for data streams, in 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom) (IEEE, 2016)

2. M. Shukla, Y.P. Kosta, M. Jayswal, A modified approach of optics algorithm for data streams. Eng. Technol. Appl. Sci. Res. 7(2), 1478–1481 (2017)

3. M.S. Shukla, K.R. Rathod, Stream data mining and comparative study of classification algorithms. Algorithms 3(1) (2013)

4. T. Keshvani, M. Shukla, A comparative study on data stream clustering algorithms, in Proceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI—2018). ICCBI 2018, ed. by A. Pandian, T. Senjyu, S. Islam, H. Wang. Lecture Notes on Data Engineering and Communications Technologies, vol 31 (Springer, Cham, 2020)

5. M.S. Shukla, Design and development of clustering algorithm to improvise computation of data stream based on outlier attributes (2020)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Empirical Analysis of Machine Learning Algorithms for Predicting Thyroidism;Communications in Computer and Information Science;2024

2. A Consolidated Study On Advanced Classification Techniques Used On Stream Data;2023 IEEE 11th Region 10 Humanitarian Technology Conference (R10-HTC);2023-10-16