Towards Rough Set Theory for Outliers Detection in Questionnaire Data
In: Computer Information Systems and Industrial Management : 22nd International Conference, CISIM 2023, Tokyo, Japan, September 22–24, Jg. 14164 (2023), S. 310-324
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Zugriff:
Titel: |
Towards Rough Set Theory for Outliers Detection in Questionnaire Data
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Autor/in / Beteiligte Person: | Uher, Vojtěch ; Dráždilová, Pavla ; Goos, Gerhard, Founding Editor ; Hartmanis, Juris, Founding Editor ; Bertino, Elisa [Ed.]ial Board Member ; Gao, Wen [Ed.]ial Board Member ; Steffen, Bernhard [Ed.]ial Board Member ; Yung, Moti [Ed.]ial Board Member ; Saeed, Khalid [Ed.] ; Dvorský, Jiří [Ed.] ; Nishiuchi, Nobuyuki [Ed.] ; Fukumoto, Makoto [Ed.] |
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Zeitschrift: | Computer Information Systems and Industrial Management : 22nd International Conference, CISIM 2023, Tokyo, Japan, September 22–24, Jg. 14164 (2023), S. 310-324 |
Veröffentlichung: | 2023 |
Medientyp: | E-Book |
ISBN: | 978-3-031-42822-7 (print) ; 978-3-031-42823-4 (print) |
DOI: | 10.1007/978-3-031-42823-4_23 |
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