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1–10 von 18 Ergebnissen
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    Using Data From the Web to Predict Public Transport Arrivals Under Special Events Scenarios

    Pereira, Francisco C. / Rodrigues, Filipe / Ben-Akiva, Moshe | Taylor & Francis Verlag | 2015
    Schlagwörter: Data mining , Web Mining

    Understanding the usage of dockless bike sharing in Singapore

    Shen, Yu / Zhang, Xiaohu / Zhao, Jinhua | Taylor & Francis Verlag | 2018
    Schlagwörter: data mining

    Understanding the bike sharing travel demand and cycle lane network: The case of Shanghai

    Zhuang, Dingyi / Jin, Jian Gang / Shen, Yifan et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: data mining

    Travel mode choice: a data fusion model using machine learning methods and evidence from travel diary survey data

    Chang, Ximing / Wu, Jianjun / Liu, Hao et al. | Taylor & Francis Verlag | 2019
    Schlagwörter: data mining

    Severity prediction of motorcycle crashes with machine learning methods

    Wahab, Lukuman / Jiang, Haobin | Taylor & Francis Verlag | 2020
    Schlagwörter: data mining

    Predicting future locations of moving objects with deep fuzzy-LSTM networks

    Li, Mingxiao / Lu, Feng / Zhang, Hengcai et al. | Taylor & Francis Verlag | 2020
    Schlagwörter: trajectory data mining

    How unsafe acts occur: an automatic text mining study

    Shi, Xin / Xu, Dong / Zhuang, Hui et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: text mining

    How big data enriches maritime research – a critical review of Automatic Identification System (AIS) data applications

    Yang, Dong / Wu, Lingxiao / Wang, Shuaian et al. | Taylor & Francis Verlag | 2019
    Schlagwörter: data mining

    Design and tests of a quick disassembly and assembly system for a deep-sea mineral mixed transportation pipeline

    Jia, Peng / Yao, Shun / Chen, Xi et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: Deep-sea mining

    Data mining techniques to analyze the factors influencing active commuting to school

    Ferri-García, Ramón / Fernández-Luna, Juan M. / Rodríguez-López, Carlos et al. | Taylor & Francis Verlag | 2020
    Schlagwörter: data mining