MICHÁLIK, Juraj, Lubomír POPELÍNSKÝ, Klára ANTLOVÁ and Petra RYDVALOVÁ. Strojové učení pro analýzu rodinného podnikání (Machine learning for family business analysis). In Mária Bieliková, Ivan Srba. Proceedings in Informatics and Information Technologies. Bratislava: WIKT & DaZ. Bratislava: Nakladatel’stvo STU, 2016, p. 81-84. ISBN 978-80-227-4619-9.
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Basic information
Original name Strojové učení pro analýzu rodinného podnikání
Name in Czech Strojové učení pro analýzu rodinného podnikání
Name (in English) Machine learning for family business analysis
Authors MICHÁLIK, Juraj (703 Slovakia, belonging to the institution), Lubomír POPELÍNSKÝ (203 Czech Republic, guarantor, belonging to the institution), Klára ANTLOVÁ (203 Czech Republic) and Petra RYDVALOVÁ (203 Czech Republic).
Edition Bratislava, Proceedings in Informatics and Information Technologies. Bratislava: WIKT & DaZ, p. 81-84, 4 pp. 2016.
Publisher Nakladatel’stvo STU
Other information
Original language Czech
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Slovakia
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
RIV identification code RIV/00216224:14330/16:00091591
Organization unit Faculty of Informatics
ISBN 978-80-227-4619-9
Keywords (in Czech) rodinné podnikání; strojové učení; klasifikace
Keywords in English family bussines; machine learning; classification
Changed by Changed by: doc. RNDr. Lubomír Popelínský, Ph.D., učo 1945. Changed: 11/11/2016 13:09.
Abstract
We give a brief overview of family business, mention difficulties when formulating a definition of a family enterprise and then describe what data are nowadays available for data analysis. We show how machine learning methods can be used for analysis of a 67 family enterprises. In conclusion we mention future work.
Abstract (in English)
We give a brief overview of family business, mention difficulties when formulating a definition of a family enterprise and then describe what data are nowadays available for data analysis. We show how machine learning methods can be used for analysis of a 67 family enterprises. In conclusion we mention future work.
Links
MUNI/A/0945/2015, interní kód MUName: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace V.
Investor: Masaryk University, Category A
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