Similar Papers

Paper Title
Journal
Date
Author
Sales Prediction Based on ARIMA Time Series and Multifactorial Linear Model
Ziru Zhang
Highlights in Science, Engineering and Technology | VOL. 38
Ziru ZhangZiru Zhang
16 Mar 2023
Application of time series to thermal error compensation of machine tools
Enming Miao ... Yetai Fei
-
Enming Miao, et. al.Enming Miao ... Yetai Fei
26 Dec 2010
The Links between Statistical and Fuzzy Models for Time Series Analysis and Forecasting
José Luis Aznarte ... José Manuel Benítez
-
José Luis Aznarte, et. al.José Luis Aznarte ... José Manuel Benítez
01 Jan 2013
TIME-SERIES PREDICTION SYSTEM AND AROP MODEL IN TRANSPORTATION DEMAND ANALYSIS
Masafumi Tsutsumi ... Takeshi Chishaki
Doboku Gakkai Ronbunshu | VOL. 1989
Masafumi Tsutsumi, et. al.Masafumi Tsutsumi ... Takeshi Chishaki
20 Jul 1989
View more papers

More From: International Journal of Spatio-Temporal Data Science

Paper Title
Journal
Date
Author
A machine learning based predictive model for time-series modelling and analysis
Qasem Abu Al Haija
International Journal of Spatio-Temporal Data Science | VOL. 1
Qasem Abu Al HaijaQasem Abu Al Haija
01 Jan 2020
Enforcing IoT data verification and privacy using origin identification traceability
Natalia Slivkanich ... Richard K Lomotey
International Journal of Spatio-Temporal Data Science | VOL. 1
Natalia Slivkanich, et. al.Natalia Slivkanich ... Richard K Lomotey
01 Jan 2020
Triple DES-WSA: an efficient security algorithm providing integrity with aid of MapReduce process
Pradeep Bedi ... S.B Goyal
International Journal of Spatio-Temporal Data Science | VOL. 1
Pradeep Bedi, et. al.Pradeep Bedi ... S.B Goyal
01 Jan 2020
Predictive reinforcement learning algorithm for unstructured business process optimisation: case of human resources process
Samia Chehbi Gamoura
International Journal of Spatio-Temporal Data Science | VOL. 1
Samia Chehbi GamouraSamia Chehbi Gamoura
01 Jan 2020
View more papers

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.