End-to-End Implementation of Automated Price Forecasting Applications

• Published in: SN computer science Vol. 5; no. 4; p. 402
• Main Authors: Stühler, Horst, Klau, Dennis, Zöller, Marc-André, Beiderwellen-Bedrikow, Alexandre, Tutschku, Christian
• Format: Journal Article
• Language: English
• Published: Singapore Springer Nature Singapore 06.04.2024; Springer Nature B.V
• Subjects: Automation; Case studies; Cognitive tasks; Computer Imaging; Computer Science; Computer Systems Organization and Communication Networks; Construction equipment; Data mining; Data processing; Data Structures and Information Theory; Datasets; Forecasting; Heavy construction; Information Systems and Communication Service; Machine learning; Mathematical models; Optimization; Original Research; Pattern Recognition and Graphics; Pipelines; Preprocessing; Quality assessment; R&D; Recent Trends on Data Science; Research & development; Small & medium sized enterprises-SME; Software Engineering/Programming and Operating Systems; Subject specialists; Technology and Applications; Vision; Case study; CRISP-DM; AutoML; Price forecasting; Machine Learning, ML; Construction equipment
• ISSN: 2661-8907; 2662-995X; 2661-8907
• DOI: 10.1007/s42979-024-02735-2

Forecasting prices of used construction equipment is challenging due to spatial and temporal price fluctuations. Automating this forecasting process using current market data is, therefore, highly desirable. A promising and common strategy is the application of machine learning (ML) techniques. Howe...