An adaptive algorithm for dealing with data stream evolution and singularity-Reference-Cited by-同舟云学术

An adaptive algorithm for dealing with data stream evolution and singularity

Published:2021-02 Issue: Volume:545 Page:312-330
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Wu Yong-ming,Chen Lin-sheng,Li Shao-bo,Chen Jia-dui

Funder

Guizhou Science and Technology Department

Natural Science Foundation of Guizhou Province

National Natural Science Foundation of China

Guizhou University

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference47 articles.

1. Efficient privacy preservation of big data for accurate data mining;Chamikara;Inf. Sci.,2019

2. Data fusion and machine learning for industrial prognosis: trends and perspectives towards industry 4.0;Diez-Olivan;Inform. Fusion,2019

3. Real-time feature selection technique with concept drift detection using adaptive micro-clusters for data stream mining;Hammoodi;Knowl.-Based Syst.,2018

4. Mining microscopic and macroscopic changes in network data streams;Loglisci;Knowl.-Based Syst.,2018

5. A survey on concept drift adaptation;Gama;ACM Comput. Surv.,2014

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