Using Fourier coefficients in time series analysis for student performance prediction in blended learning environments

Author:

Gamulin Jasna1,Gamulin Ozren2,Kermek Dragutin3

Affiliation:

1. University of Zagreb School of Medicine; Zagreb Croatia

2. Department of Physics and Biophysics; University of Zagreb School of Medicine; Zagreb Croatia

3. Department of Computing and Technology, Department of Theoretical and Applied Foundations of Information Sciences; University of Zagreb Faculty of Organization and Informatics; Varaždin Croatia

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Reference33 articles.

1. Agrawal , R. K.I. Lin H.S. Sawhney K. Shim 1995 Fast similarity search in the presence of noise, scaling, and translation in time-series databases Proceedings of the 21th International Conference on Very Large Data Bases 490 501

2. Clustering time series with clipped data;Bagnall;Machine Learning,2005

3. The state of educational data mining in 2009: a review and future visions;Baker;Journal of Educational Data Mining,2009

4. Bubaš , G. D. Kermek 2004 The prospects for blended learning in Croatian academic institutions Proceedings of the 6 th CARNet Users Conference CUC 2004

5. Online fuzzy time series analysis based on entropy discretization and a fast Fourier transform;Chen;Applied Soft Computing,2014

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