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    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

    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

    Temporal pattern mining of urban traffic volume data: a pairwise hybrid clustering method

    Free access
    Taheri Sarteshnizi, Iman / Sarvi, Majid / Bagloee, Saeed Asadi et al. | Taylor & Francis Verlag | 2023
    Keywords: Temporal pattern mining

    Factors influencing crowdsourcing riders’ satisfaction based on online comments on real-time logistics platform

    Zhang, Yi / Shi, Xiaomin / Abdul-Hamid, Zalia et al. | Taylor & Francis Verlag | 2023
    Keywords: text 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
    Keywords: data mining

    Solid–liquid two-phase flow in deep-sea mining pipelines based on CFD–DEM

    Li, Yuanwen / Liu, Shaojun / Hu, Xiaozhou | Taylor & Francis Verlag | 2023
    Keywords: Deep-sea mining pipeline

    Analyzing factors and interaction terms affecting urban fatal crash types based on a hybrid framework of econometric model and machine learning approaches

    Hu, Zongpin / Shi, Qin / Chen, Yikai et al. | Taylor & Francis Verlag | 2023
    Keywords: feature subset selection algorithm based on association rule mining

    Analysis of residents’ stated preferences of shared micro-mobility devices using regression-text mining approach

    Kutela, Boniphace / Novat, Norris / Adanu, Emmanuel Kofi et al. | Taylor & Francis Verlag | 2022
    Keywords: text mining

    How unsafe acts occur: an automatic text mining study

    Shi, Xin / Xu, Dong / Zhuang, Hui et al. | Taylor & Francis Verlag | 2022
    Keywords: text 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
    Keywords: data mining techniques

    Classifying features of freeway crashes using machine learning

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

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

    Zhu, Siying | Taylor & Francis Verlag | 2022
    Keywords: 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
    Keywords: data 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 mining for identification of port state control patterns in Malaysian ports

    Free access
    Osman, Mohd Tarmizi / Yuli, Chen / Li, Tian et al. | Taylor & Francis Verlag | 2021
    Keywords: 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
    Keywords: data mining

    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
    Keywords: Association rules mining model

    Modeling discretionary lane-changing decisions using an improved fuzzy cognitive map with association rule mining

    Bağdatli, Muhammed Emin Cihangir / Dokuz, Ahmet Şakir | Taylor & Francis Verlag | 2021
    Keywords: association rule mining

    Risk assessment of inland waterborne transportation using data mining

    Wang, Zhaochen / Yin, Jingbo | Taylor & Francis Verlag | 2020
    Keywords: Text mining , association rule 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

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