KALINOVÁ, Eva. Artificial intelligence for cluster analysis: case study of transport companies in Czech republic. Journal of Risk and Financial Management. Basilej, Švýcarsko: MDPI, roč. 14, č. 9, s. nestránkováno, 36 s. ISSN 1911-8066. 2021. |
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@article{60541, author = {Kalinová, Eva}, article_location = {Basilej, Švýcarsko}, article_number = {9}, keywords = {artificial intelligence methods; Kohonen networks; cluster analysis; transport sector; business value generators; big data}, language = {eng}, issn = {1911-8066}, journal = {Journal of Risk and Financial Management}, title = {Artificial intelligence for cluster analysis: case study of transport companies in Czech republic}, url = {https://www.mdpi.com/1911-8074/14/9/411}, volume = {14}, year = {2021} }
TY - JOUR ID - 60541 AU - Kalinová, Eva PY - 2021 TI - Artificial intelligence for cluster analysis: case study of transport companies in Czech republic JF - Journal of Risk and Financial Management VL - 14 IS - 9 SP - nestránkováno EP - nestránkováno PB - MDPI SN - 19118066 KW - artificial intelligence methods KW - Kohonen networks KW - cluster analysis KW - transport sector KW - business value generators KW - big data UR - https://www.mdpi.com/1911-8074/14/9/411 N2 - The author aim is to analyze transport sector in Czech Republic. The dataset consists of the financial statements of transport companies for the years 2015-2018. The research part of the contribution deals mainly with the issue of the transport sector's development in the years 2015-2018 with the companies operating in this sector and tries to identify the most important companies in terms of their importance for this sector. ER -
KALINOVÁ, Eva. Artificial intelligence for cluster analysis: case study of transport companies in Czech republic. \textit{Journal of Risk and Financial Management}. Basilej, Švýcarsko: MDPI, roč.~14, č.~9, s.~nestránkováno, 36 s. ISSN~1911-8066. 2021.
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