Evolvable fuzzy systems from data streams with missing values: With application to temporal pattern recognition and cryptocurrency prediction

Author:

Garcia Cristiano,Esmin Ahmed,Leite DanielORCID,Škrjanc Igor

Funder

Serrapilheira Institute

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference17 articles.

1. Autonomous Learning Systems;Angelov,2013

2. A hybrid method for imputation of missing values using optimized fuzzy c-means with support vector regression and a genetic algorithm;Aydilek;Inf. Sci.,2013

3. A novel hybrid approach to estimating missing values in databases using k-nearest neighbors and neural networks;Aydilek;Int. J. Innov. Comput. I,2012

4. Data-driven approaches for meteorological time series prediction: a comparative study of the state-of-the-art computational intelligence techniques;Das;Pattern Recognit. Lett.,2018

5. Recurring and novel class detection using class-based ensemble for evolving data stream;Al-Khateeb;IEEE Trans. Knowl. Data Eng.,2016

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