Standard

Application of Machine Learning Methods to Assess Player Skills via Business Simulation Logs. / Гадасина, Людмила Викторовна; Масалимова, Азалия Азатовна; Вьюненко, Людмила Федоровна.

Digital Economy. Emerging Technologies and Business Innovation (ICDEc 2024). Cham : Springer Nature, 2024. p. 3–16 (Lecture Notes in Business Information Processing; Vol. 531).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Гадасина, ЛВ, Масалимова, АА & Вьюненко, ЛФ 2024, Application of Machine Learning Methods to Assess Player Skills via Business Simulation Logs. in Digital Economy. Emerging Technologies and Business Innovation (ICDEc 2024). Lecture Notes in Business Information Processing, vol. 531, Springer Nature, Cham, pp. 3–16, The 9th International Conference on Digital Economy (ICDEc), 9/05/24. https://doi.org/10.1007/978-3-031-76368-7_1

APA

Гадасина, Л. В., Масалимова, А. А., & Вьюненко, Л. Ф. (2024). Application of Machine Learning Methods to Assess Player Skills via Business Simulation Logs. In Digital Economy. Emerging Technologies and Business Innovation (ICDEc 2024) (pp. 3–16). (Lecture Notes in Business Information Processing; Vol. 531). Springer Nature. https://doi.org/10.1007/978-3-031-76368-7_1

Vancouver

Гадасина ЛВ, Масалимова АА, Вьюненко ЛФ. Application of Machine Learning Methods to Assess Player Skills via Business Simulation Logs. In Digital Economy. Emerging Technologies and Business Innovation (ICDEc 2024). Cham: Springer Nature. 2024. p. 3–16. (Lecture Notes in Business Information Processing). https://doi.org/10.1007/978-3-031-76368-7_1

Author

Гадасина, Людмила Викторовна ; Масалимова, Азалия Азатовна ; Вьюненко, Людмила Федоровна. / Application of Machine Learning Methods to Assess Player Skills via Business Simulation Logs. Digital Economy. Emerging Technologies and Business Innovation (ICDEc 2024). Cham : Springer Nature, 2024. pp. 3–16 (Lecture Notes in Business Information Processing).

BibTeX

@inproceedings{e96aac7016f245d08d9d6e720ac60091,
title = "Application of Machine Learning Methods to Assess Player Skills via Business Simulation Logs",
author = "Гадасина, {Людмила Викторовна} and Масалимова, {Азалия Азатовна} and Вьюненко, {Людмила Федоровна}",
year = "2024",
month = nov,
day = "29",
doi = "10.1007/978-3-031-76368-7_1",
language = "English",
isbn = "978-3-031-76367-0",
series = "Lecture Notes in Business Information Processing",
publisher = "Springer Nature",
pages = "3–16",
booktitle = "Digital Economy. Emerging Technologies and Business Innovation (ICDEc 2024)",
address = "Germany",
note = "null ; Conference date: 09-05-2024 Through 11-05-2024",
url = "https://icdec.aten.tn/",

}

RIS

TY - GEN

T1 - Application of Machine Learning Methods to Assess Player Skills via Business Simulation Logs

AU - Гадасина, Людмила Викторовна

AU - Масалимова, Азалия Азатовна

AU - Вьюненко, Людмила Федоровна

PY - 2024/11/29

Y1 - 2024/11/29

U2 - 10.1007/978-3-031-76368-7_1

DO - 10.1007/978-3-031-76368-7_1

M3 - Conference contribution

SN - 978-3-031-76367-0

T3 - Lecture Notes in Business Information Processing

SP - 3

EP - 16

BT - Digital Economy. Emerging Technologies and Business Innovation (ICDEc 2024)

PB - Springer Nature

CY - Cham

Y2 - 9 May 2024 through 11 May 2024

ER -

ID: 127849283