Forecasting in non-stationary environments with fuzzy time series-Reference-Cited by-同舟云学术

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Forecasting in non-stationary environments with fuzzy time series

Published:2020-12 Issue: Volume:97 Page:106825
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

de Lima e Silva Petrônio Cândido,Severiano Carlos Alberto,Alves Marcos Antonio,Silva Rodrigo,Weiss Cohen Miri,Guimarães Frederico Gadelha

Funder

Foundation for Research of the State of Minas Gerais

National Council for Scientific and Technological Development (CNPq), Brazil

Coordination for the Improvement of Higher Education Personnel

Publisher

Elsevier BV

Subject

Software

Reference49 articles.

1. Real-time data mining of non-stationary data streams from sensor networks;Cohen;Inf. Fusion,2008

2. Ensemble learning for data stream analysis: A survey;Krawczyk;Inf. Fusion,2017

3. Evolving clustering algorithm based on mixture of typicalities for stream data mining;Maia;Future Gener. Comput. Syst.,2020

4. A new boosting algorithm for improved time-series forecasting with recurrent neural networks;Assaad;Inf. Fusion,2008

5. Fusion of multiple indicators with ensemble incremental learning techniques for stock price forecasting;Qiu;J. Bank. Financ. Technol.,2019

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