Analysed potential of big data and supervised machine learning techniques in effectively forecasting travel times from fused data

Research article (PROMET - Traffic&Transportation, 2015) · cited 13× · AI/ML
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Analysed potential of big data and supervised machine learning techniques in effectively forecasting travel times from fused data

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Analysed potential of big data and supervised machine learning techniques in effectively forecasting travel times from fused data is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Analysed potential of big data and supervised machine learning techniques in effectively forecasting travel times from fused data. Retrieved May 24, 2026, from https://4ort.xyz/entity/analysed-potential-of-big-data-and-supervised-machine-learning-techniques-in-effectively-forecasting-travel-times-from-f
MLA “Analysed potential of big data and supervised machine learning techniques in effectively forecasting travel times from fused data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/analysed-potential-of-big-data-and-supervised-machine-learning-techniques-in-effectively-forecasting-travel-times-from-f.
BibTeX @misc{4ortxyz_analysed-potential-of-big-data-and-supervised-machine-learning-techniques-in-effectively-forecasting-travel-times-from-f_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Analysed potential of big data and supervised machine learning techniques in effectively forecasting travel times from fused data}}, year = {2026}, url = {https://4ort.xyz/entity/analysed-potential-of-big-data-and-supervised-machine-learning-techniques-in-effectively-forecasting-travel-times-from-f}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Analysed potential of big data and supervised machine learning techniques in effectively forecasting travel times from fused data — https://4ort.xyz/entity/analysed-potential-of-big-data-and-supervised-machine-learning-techniques-in-effectively-forecasting-travel-times-from-f (retrieved 2026-05-24)

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