1–20 von 25 Ergebnissen
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    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

    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
    Schlagwörter: Data Mining

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

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

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

    de Oña, Rocio / de Oña, Juan | Taylor & Francis Verlag | 2015
    Schlagwörter: 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

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

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

    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

    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

    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

    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

    Classification of Livebus arrivals user behavior

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

    Classifying features of freeway crashes using machine learning

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

    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

    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

    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

    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

    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

    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

    Severity prediction of motorcycle crashes with machine learning methods

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