1–20 von 24 Ergebnissen
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    An analysis of Brazilian flight delays based on frequent patterns

    Sternberg, Alice / Carvalho, Diego / Murta, Leonardo et al. | Elsevier | 2016
    Schlagwörter: Association rules

    Investigation of work zone crash casualty patterns using association rules

    Weng, Jinxian / Zhu, Jia-Zheng / Yan, Xuedong et al. | Elsevier | 2016
    Schlagwörter: Association rules

    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: association rules

    Application of association rules mining algorithm for hazardous materials transportation crashes on expressway

    Hong, Jungyeol / Tamakloe, Reuben / Park, Dongjoo | Elsevier | 2020
    Schlagwörter: association rules mining

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

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

    Domino effect in marine accidents: Evidence from temporal association rules

    Wang, Likun / Huang, Ruiling / Shi, Wenming et al. | Elsevier | 2021
    Schlagwörter: Temporal association rules

    Fatal pedestrian crashes at intersections: Trend mining using association rules

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

    Understanding speeding behavior from naturalistic driving data: Applying classification based association rule mining

    Kong, Xiaoqiang / Das, Subasish / Jha, Kartikeya et al. | Elsevier | 2020
    Schlagwörter: Association rules

    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: Association rules

    Fusion Model for Hazard Association Network Development: A Case in Elevator Installation and Maintenance

    Liao, Pin-Chao / Chen, Hainan / Luo, Xiaowei | Online Contents | 2019
    Schlagwörter: hazard association network , real-time association rules

    Frequent-pattern growth algorithm based association rule mining method of public transport travel stability

    Hu, Song / Liang, Quan / Qian, Huimin et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: Association rules mining model

    Recognizing metro-bus transfers from smart card data

    Zhao, De / Wang, Wei / Li, Chenyang et al. | Taylor & Francis Verlag | 2019
    Schlagwörter: association rules

    Analysis of pre-crash scenarios and contributing factors for autonomous vehicle crashes at intersections

    Liu, Qian / Wang, Xuesong / Liu, Shikun et al. | Elsevier | 2023
    Schlagwörter: Association rules

    Improved imputation of rule sets in class association rule modeling: application to transportation mode choice

    Zhang, Jiajia / Feng, Tao / Timmermans, Harry et al. | Online Contents | 2021
    Schlagwörter: Class association rules

    Factors influencing the patterns of wrong-way driving crashes on freeway exit ramps and median crossovers: Exploration using ‘Eclat’ association rules to promote safety

    Freier Zugriff
    Subasish Das / Anandi Dutta / Mohammad Jalayer et al. | DOAJ | 2018
    Schlagwörter: Association rules mining

    Using trajectory-level SHRP2 naturalistic driving data for investigating driver lane-keeping ability in fog: An association rules mining approach

    Das, Anik / Ahmed, Mohamed M. / Ghasemzadeh, Ali | Elsevier | 2019
    Schlagwörter: Association rules mining

    Association rules and prediction of transportation mode choice: Application to national travel survey data

    Zhang, Jiajia / Feng, Tao / Timmermans, Harry J.P. et al. | Elsevier | 2023
    Schlagwörter: Class association rules , Class-based association rules , Class association rule

    Analysis of motorcycle accidents using association rule mining-based framework with parameter optimization and GIS technology

    Jiang, Feifeng / Yuen, Kwok Kit Richard / Lee, Eric Wai Ming | Elsevier | 2020
    Schlagwörter: Association Rule Mining (ARM) , Accurate and Efficient Classification Based on Multiple Class-Association Rules (CMAR)