Search (6 results, page 1 of 1)

  • × theme_ss:"Data Mining"
  • × year_i:[2020 TO 2030}
  1. Mandl, T.: Text Mining und Data Mining (2023) 0.00 
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    Pages
    S.327-338
  2. Wiegmann, S.: Hättest du die Titanic überlebt? : Eine kurze Einführung in das Data Mining mit freier Software (2023) 0.00 
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  3. Organisciak, P.; Schmidt, B.M.; Downie, J.S.: Giving shape to large digital libraries through exploratory data analysis (2022) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 73(2022) no.2, S.317-332
  4. Jones, K.M.L.; Rubel, A.; LeClere, E.: ¬A matter of trust : higher education institutions as information fiduciaries in an age of educational data mining and learning analytics (2020) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 71(2020) no.10, S.1227-1241
  5. Borgman, C.L.; Wofford, M.F.; Golshan, M.S.; Darch, P.T.: Collaborative qualitative research at scale : reflections on 20 years of acquiring global data and making data global (2021) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 72(2021) no.6, S.667-682
  6. Goldberg, D.M.; Zaman, N.; Brahma, A.; Aloiso, M.: Are mortgage loan closing delay risks predictable? : A predictive analysis using text mining on discussion threads (2022) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 73(2022) no.3, S.419-437

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