A Framework for Time Series Preprocessing and History-based Forecasting Method Recommendation
M. Züfle, and S. Kounev. Proceedings of the 15th Conference on Computer Science and Information Systems (FedCSIS): Data Mining Competition of the International Symposium on Advanced Artificial Intelligence in Applications, (September 2020)
Proceedings of the 15th Conference on Computer Science and Information Systems (FedCSIS): Data Mining Competition of the International Symposium on Advanced Artificial Intelligence in Applications
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%0 Conference Paper
%1 ZuKo-AAIA2020-Framework
%A Züfle, Marwin
%A Kounev, Samuel
%B Proceedings of the 15th Conference on Computer Science and Information Systems (FedCSIS): Data Mining Competition of the International Symposium on Advanced Artificial Intelligence in Applications
%D 2020
%K descartes online_monitoring_and_forecasting prediction statistical_estimation_and_machine_learning t_short myown
%T A Framework for Time Series Preprocessing and History-based Forecasting Method Recommendation
@inproceedings{ZuKo-AAIA2020-Framework,
added-at = {2020-11-01T03:00:19.000+0100},
author = {Z{\"u}fle, Marwin and Kounev, Samuel},
biburl = {https://www.bibsonomy.org/bibtex/2e04815037429954d59a707824329393a/samuel.kounev},
booktitle = {Proceedings of the 15th Conference on Computer Science and Information Systems (FedCSIS): Data Mining Competition of the International Symposium on Advanced Artificial Intelligence in Applications},
interhash = {b4db46e32a8cbd2a088c3180fae3655b},
intrahash = {e04815037429954d59a707824329393a},
keywords = {descartes online_monitoring_and_forecasting prediction statistical_estimation_and_machine_learning t_short myown},
month = {September},
timestamp = {2020-11-01T03:00:19.000+0100},
title = {A Framework for Time Series Preprocessing and History-based Forecasting Method Recommendation},
year = 2020
}