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dc.contributor.authorNing, Xin
dc.contributor.authorShan, Ming
dc.contributor.authorLi, Zhengfang
dc.contributor.authorNie, Zhihong
dc.date.accessioned2026-08-20T10:37:47Z
dc.date.available2026-08-20T10:37:47Z
dc.date.copyright2025/09/23
dc.date.issued2025
dc.identifier.otherJCEMD4.COENG-16748.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311052
dc.description.abstractAbstractMaterial prices significantly impact project costs, and accurate price forecasting is crucial for developing cost management strategies. The volatility of construction material prices exhibits nonlinear and dynamic characteristics, posing ...Practical ApplicationsThe method proposed in this study offers significant advantages for material procurement management in the construction industry. By providing accurate predictions of material prices, the model helps managers make informed purchasing ...
dc.publisherAmerican Society of Civil Engineers
dc.titlePrediction of Construction Material Prices Based on the Sliding Window CatBoost Model
dc.typeJournal Article
dc.journal.volume151
dc.journal.issue12
dc.journal.titleJournal of Construction Engineering and Management
dc.identifier.doi10.1061/JCEMD4.COENG-16748
dc.journal.fristpage04025196-1
dc.journal.lastpage04025196-12
dc.page12
dc.treeJournal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 012
dc.contenttypeFulltext


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