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keywords:(Data mining)

Can we trust the AIS destination port information for bulk ships?–Implications for shipping policy and practice

Yang, Dong / Wu, Lingxiao / Wang, Shuaian | Elsevier | 2021

Keywords: AIS data , Data mining

The Data Economy : Implications from Singapore

Kumar, Sree / Chik, Warren B. / Ng, See-Kiong et al. | TIBKAT | 2018

Keywords: Data mining ; Economic aspects , Big data ; Economic aspects ; Singapore , Big data ; Economic aspects , Big data , data anonymisation , Data Mining , Data mining , Data mining ; Economic aspects ; Singapore , data regulation , Big Data , Urban transportation ; Singapore ; Data processing , data economy , Urban transportation ; Data processing

A data-driven optimization of large-scale dry port location using the hybrid approach of data mining and complex network theory

Van Nguyen, Truong / Zhang, Jie / Zhou, Li et al. | Elsevier | 2019

Keywords: Data mining

Examining customer perception and behaviour through social media research – An empirical study of the United Airlines overbooking crisis

Ma, Jie / Tse, Ying Kei / Wang, Xiaojun et al. | Elsevier | 2019

Keywords: Social media big data , Crisis communication Twitter mining

How liner shipping heals schedule disruption: A data-driven framework to uncover the strategic behavior of port-skipping

Zhang, Lingye / Yang, Dong / Bai, Xiwen et al. | Elsevier | 2023

Keywords: Data mining

Prognose relevanter technischer Parameter

Broch, Florian | Springer Verlag | 2017

Keywords: Data Mining and Knowledge Discovery