Synonyme wurden verwendet für: Data Data mining mining
Suche ohne Synonyme: keywords:(Data mining)

1–20 von 39 Ergebnissen
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    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 , data mining

    Construction accident narrative classification: An evaluation of text mining techniques

    Goh, Yang Miang / Ubeynarayana, C.U. | Elsevier | 2017
    Schlagwörter: Data mining , Text mining

    Investigation of work zone crash casualty patterns using association rules

    Weng, Jinxian / Zhu, Jia-Zheng / Yan, Xuedong et al. | Elsevier | 2016
    Schlagwörter: Data mining , Data visualization

    Development and evaluation of a Naïve Bayesian model for coding causation of workers’ compensation claims

    Bertke, S.J. / Meyers, A.R. / Wurzelbacher, S.J. et al. | Elsevier | 2012
    Schlagwörter: Data-mining , Text-mining

    Applying data mining techniques to explore factors contributing to occupational injuries in Taiwan's construction industry

    Cheng, Ching-Wu / Leu, Sou-Sen / Cheng, Ying-Mei et al. | Elsevier | 2011
    Schlagwörter: Data mining , Data analysis

    Using data mining techniques to predict the severity of bicycle crashes

    Prati, Gabriele / Pietrantoni, Luca / Fraboni, Federico | Elsevier | 2017
    Schlagwörter: Data 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: Data mining techniques , Association rules mining

    Review on big data applications in safety research of intelligent transportation systems and connected/automated vehicles

    Lian, Yanqi / Zhang, Guoqing / Lee, Jaeyoung et al. | Elsevier | 2020
    Schlagwörter: Big Data , Data mining

    Machine learning approaches to analysing textual injury surveillance data: A systematic review

    Vallmuur, Kirsten | Elsevier | 2015
    Schlagwörter: Text data , Text mining

    The use of narrative text for injury surveillance research: A systematic review

    McKenzie, Kirsten / Scott, Deborah Anne / Campbell, Margaret Ann et al. | Elsevier | 2009
    Schlagwörter: Text mining , Health data

    A method for simplifying the analysis of traffic accidents injury severity on two-lane highways using Bayesian networks

    Mujalli, Randa Oqab / de Oña, Juan | Elsevier | 2011
    Schlagwörter: Data mining

    A data mining approach to deriving safety policy implications for taxi drivers

    Park, Jiwon / Lee, Seolyoung / Oh, Cheol et al. | Elsevier | 2020
    Schlagwörter: Data mining

    Application of a model-based recursive partitioning algorithm to predict crash frequency

    Tang, Houjun / Donnell, Eric T. | Elsevier | 2019
    Schlagwörter: Data mining

    Identification and analysis of misclassified work-zone crashes using text mining techniques

    Sayed, Md Abu / Qin, Xiao / Kate, Rohit J. et al. | Elsevier | 2021
    Schlagwörter: Crash data , Text mining

    Fatal pedestrian crashes at intersections: Trend mining using association rules

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

    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: Data mining

    A study on the cyclist head kinematic responses in electric-bicycle-to-car accidents using decision-tree model

    Gao, Wenrui / Bai, Zhonghao / Zhu, Feng et al. | Elsevier | 2021
    Schlagwörter: Data mining

    Analysis of the severity of vehicle-bicycle crashes with data mining techniques

    Zhu, Siying | Elsevier | 2020
    Schlagwörter: Integrated data mining framework

    Analysis of traffic injury severity: An application of non-parametric classification tree techniques

    Chang, Li-Yen / Wang, Hsiu-Wen | Elsevier | 2006
    Schlagwörter: Data mining