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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
    Keywords: Data mining , Web 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
    Keywords: 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
    Keywords: data mining

    Understanding the usage of dockless bike sharing in Singapore

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

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

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

    Severity prediction of motorcycle crashes with machine learning methods

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

    A novel algorithm for ship characteristic points extraction based on density clustering

    Li, Weifeng / Zhang, Haoda / Shi, Guoyou et al. | Taylor & Francis Verlag | 2024
    Keywords: data 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
    Keywords: 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
    Keywords: Deep-sea mining

    Analysis of transit quality of service through segmentation and classification tree techniques

    de Oña, Rocio / de Oña, Juan | Taylor & Francis Verlag | 2015
    Keywords: data mining

    Classification of Livebus arrivals user behavior

    Hadjidimitriou, Natalia Selini / Mamei, Marco / Dell'Amico, Mauro et al. | Taylor & Francis Verlag | 2017
    Keywords: data mining

    A Hybrid Tree Approach to Modeling Alternate Route Choice Behavior With Online Information

    Lee, Chanyoung / Ran, Bin / Yang, Fan et al. | Taylor & Francis Verlag | 2010
    Keywords: Data Mining