Improving Time Series Forecasting by Applying the Sliding Window Approach › SPbU Researchers Portal

Improving Time Series Forecasting by Applying the Sliding Window Approach

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

DOI

https://doi.org/10.1007/978-3-031-98304-7_34
Final published version

Original language	English
Title of host publication	Intelligent and Fuzzy Systems (INFUS 2025)
Publisher	Springer Nature
Pages	294–302
Number of pages	9
ISBN (Electronic)	978-3-031-98304-7
ISBN (Print)	978-3-031-98303-0
DOIs	https://doi.org/10.1007/978-3-031-98304-7_34
State	Published - 2025
Event	2025 Intelligent and Fuzzy Systems - Стамбул, Turkey Duration: 29 Jul 2025 → 31 Jul 2025 https://infus.itu.edu.tr/

Publication series

Name	Lecture Notes in Networks and Systems
Volume	1531 LNNS

Conference

Conference	2025 Intelligent and Fuzzy Systems
Abbreviated title	INFUS 2025
Country/Territory	Turkey
City	Стамбул
Period	29/07/25 → 31/07/25
Internet address	https://infus.itu.edu.tr/

Research areas

IT Job Market, Machine Learning, Non-Stationary Data, Sliding Window, Time Series Forecasting

ID: 142649462