1–10 von 25 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 , GPS data

    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: AIS data , data mining , advanced applications of AIS data

    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

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

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

    A new model for efficiency evaluation of a bus fleet by window analysis in DEA and data mining

    Alizadeh, Somayeh / Safi, Mahsa | Taylor & Francis Verlag | 2020
    Schlagwörter: data envelopment analysis , data mining

    Association rule learning to improve deficiency inspection in port state control

    Chung, Wu-Hsun / Kao, Sheng-Long / Chang, Chun-Min et al. | Taylor & Francis Verlag | 2020
    Schlagwörter: data mining

    Data mining on road safety: factor assessment on vehicle accidents using classification models

    Castro, Yuri / Kim, Young Jin | Taylor & Francis Verlag | 2016
    Schlagwörter: Data mining

    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

    Severity prediction of motorcycle crashes with machine learning methods

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