VSE knjižnice (vzajemna bibliografsko-kataložna baza podatkov COBIB.SI)
  • Survival analysis as semi-supervised multi-target regression for time-to-employment prediction using oblique predictive clustering trees [Elektronski vir]
    Andonovikj, Viktor ...
    We address the problem of estimating the time-to-employment of a jobseeker using survival analysis and oblique predictive clustering tree. Unlike standard survival analysis, oblique predictive ... clustering tree can handle categorical and continuous data and is capable of modelling non-linear dependences. Treating the censored data as missing data opens the possibility to perform survival analysis by using structured output prediction in semi-supervised multi-target regression setting. The effectiveness of this approach is shown on a real dataset from Public Employment Services in Slovenia, comprising time-to-employment records with jobseekers’ personal and professional characteristics. The performances are compared with six state-of-the-art AI methods. To the best of our knowledge, this is the first example of using semi-supervised oblique predictive clustering tree for survival analysis.
    Vir: Expert systems with applications [Elektronski vir]. - ISSN 1873-6793 (Vol. 235, Jan. 2024, [article no.] 121246, str. 1-11)
    Vrsta gradiva - e-članek ; neleposlovje za odrasle
    Leto - 2024
    Jezik - angleški
    COBISS.SI-ID - 162311683

    Povezava(-e):

    https://www.sciencedirect.com/science/article/pii/S0957417423017487?via%3Dihub
    DOI

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