1–9 von 9 Ergebnissen
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    Association rule mining for identification of port state control patterns in Malaysian ports

    Freier Zugriff
    Osman, Mohd Tarmizi / Yuli, Chen / Li, Tian et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: data mining

    Temporal pattern mining of urban traffic volume data: a pairwise hybrid clustering method

    Freier Zugriff
    Taheri Sarteshnizi, Iman / Sarvi, Majid / Bagloee, Saeed Asadi et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: Temporal pattern mining , traffic volume data

    Application of data-mining techniques to predict and rank maritime non-conformities in tanker shipping companies using accident inspection reports

    Navas de Maya, Beatriz / Arslan, Ozcan / Akyuz, Emre et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: data mining techniques

    Classifying features of freeway crashes using machine learning

    Najafi, Zahra / Sadeghi, Rasool / Arghami, Shirazeh | Taylor & Francis Verlag | 2022
    Schlagwörter: Data mining

    Analyse vehicle–pedestrian crash severity at intersection with data mining techniques

    Zhu, Siying | Taylor & Francis Verlag | 2022
    Schlagwörter: data mining

    Evaluating car-sharing switching rates from traditional transport means through logit models and Random Forest classifiers

    Ceccato, Riccardo / Chicco, Andrea / Diana, Marco | Taylor & Francis Verlag | 2021
    Schlagwörter: data mining

    Chassis durability and comfort trade-off at early stage of project by virtual proving ground simulation

    Gao, Hanwei / Jézéquel, Louis / Cabrol, Eric et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: data mining

    A car-following model to assess the impact of V2V messages on traffic dynamics

    Li, Tenglong / Ngoduy, Dong / Hui, Fei et al. | Taylor & Francis Verlag | 2020
    Schlagwörter: data mining analysis

    Crashworthiness design of 3D lattice-structure filled thin-walled tubes based on data mining

    Lv, Jiyuan / Bai, Zhonghao / Du, Xianping et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: data mining