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1–20 von 77 Ergebnissen
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    What can we learn from the AV crashes? – An association rule analysis for identifying the contributing risky factors

    Liu, Pei / Guo, Yanyong / Liu, Pan et al. | Elsevier | 2024
    Schlagwörter: Apriori mining model

    Understanding risky driving behaviors among young novice drivers in Nigeria: A latent class analysis coupled with association rule mining approach

    Labbo, Muwaffaq Safiyanu / Qu, Lin / Xu, Chuan et al. | Elsevier | 2024
    Schlagwörter: Association Rule Mining

    Mining the accident causes of railway dangerous goods transportation: A Logistics-DT-TFP based approach

    Fa, Huiyan / Shuai, Bin / Yang, Zhenlong et al. | Elsevier | 2023
    Schlagwörter: Mining the accident causes , Data mining

    Seeing through eyes of Drivers: Space consideration in investigating visibility of Vulnerable road users involved in crashes from Driver’s perspective

    Kutela, Boniphace / Oscar, Clement / Kidando, Emmanuel et al. | Elsevier | 2023
    Schlagwörter: Text Mining

    Statistical analysis of the severity of occupational accidents in the mining sector

    Baraza, Xavier / Cugueró-Escofet, Natàlia / Rodríguez-Elizalde, Rubén | Elsevier | 2023
    Schlagwörter: Mining

    Data mining approach to explore emergency vehicle crash patterns: A comparative study of crash severity in emergency and non-emergency response modes

    Hossain, Md Mahmud / Zhou, Huaguo / Das, Subasish | Elsevier | 2023
    Schlagwörter: Association rule mining

    Crashes involving distracted pedestrians: Identifying risk factors and their relationships to pedestrian severity levels and distraction modes

    Hossain, Md Mahmud / Zhou, Huaguo / Sun, Xiaoduan et al. | Elsevier | 2023
    Schlagwörter: Association rule mining

    Analysis of first responder-involved traffic incidents by mining news reports

    Yang, Chenxuan / Liu, Jun / Li, Xiaobing et al. | Elsevier | 2023
    Schlagwörter: Text-mining

    Using text mining and multilevel association rules to process and analyze incident reports in China

    Zhu, Yuqian / Liao, Huimin / Huang, Dengchi | Elsevier | 2023
    Schlagwörter: Text mining

    Web content mining analysis of e-scooter crash causes and implications in Germany

    Brauner, Tim / Heumann, Maximilian / Kraschewski, Tobias et al. | Elsevier | 2022
    Schlagwörter: Web content mining

    Mining patterns of near-crash events with and without secondary tasks

    Kong, Xiaoqiang / Das, Subasish / Zhang, Yunlong | Elsevier | 2021
    Schlagwörter: Association rules mining

    Identification and analysis of misclassified work-zone crashes using text mining techniques

    Sayed, Md Abu / Qin, Xiao / Kate, Rohit J. et al. | Elsevier | 2021
    Schlagwörter: Text mining

    Fatal pedestrian crashes at intersections: Trend mining using association rules

    Das, Subasish / Tamakloe, Reuben / Zubaidi, Hamsa et al. | Elsevier | 2021
    Schlagwörter: Data mining

    Rule discovery to identify patterns contributing to overrepresentation and severity of run-off-the-road crashes

    Montella, Alfonso / Mauriello, Filomena / Pernetti, Mariano et al. | Elsevier | 2021
    Schlagwörter: Data mining

    A study on the cyclist head kinematic responses in electric-bicycle-to-car accidents using decision-tree model

    Gao, Wenrui / Bai, Zhonghao / Zhu, Feng et al. | Elsevier | 2021
    Schlagwörter: Data mining

    Applying machine learning, text mining, and spatial analysis techniques to develop a highway-railroad grade crossing consolidation model

    Soleimani, Samira / Leitner, Michael / Codjoe, Julius | Elsevier | 2021
    Schlagwörter: Text mining