Innovation of University Subjects in Data Science Area within
IT Academy Project

D 2018

Innovation of University Subjects in Data Science Area within IT Academy Project

ANTONI, L., E. BRUOTH, J. GUNIS, P. GURSKY, S. KRAJCI et. al.

Základní údaje

Originální název

Innovation of University Subjects in Data Science Area within IT Academy Project

Autoři

ANTONI, L. (garant), E. BRUOTH, J. GUNIS, P. GURSKY, S. KRAJCI, O. KRIDLO, Radim NAVRÁTIL (203 Česká republika, domácí), L. SNAJDER, G. ANDREJKOVA a D. SVEDA

Vydání

NEW YORK, 2018 16TH INTERNATIONAL CONFERENCE ON EMERGING ELEARNING TECHNOLOGIES AND APPLICATIONS (ICETA), od s. 31-36, 6 s. 2018

Nakladatel

IEEE

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Odkazy

URL

Kód RIV

RIV/00216224:14310/18:00110993

Organizační jednotka

Přírodovědecká fakulta

ISBN

978-1-5386-7914-2

DOI

http://dx.doi.org/10.1109/ICETA.2018.8572036

UT WoS

000457680400003

Klíčová slova anglicky

Data mining; Data models; Data science; Training; Programming; Mathematics

Štítky

rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 11. 5. 2020 16:44, Mgr. Marie Šípková, DiS.

Anotace

V originále

Data analysis solutions are already being used in many areas of technical, natural, humanitarian and economic sciences. Moreover, data analysis experts are already a scarce, and students with knowledge of Data Science have the potential to be highly desirable in the labor market. We present the data classification tasks and provide basic methods for measuring precision of classification. In conclusion, we bring a review of Data Science subjects that are introduced and innovated at universities within the IT Academy Project.

Citovat

ANTONI, L., E. BRUOTH, J. GUNIS, P. GURSKY, S. KRAJCI, O. KRIDLO, Radim NAVRÁTIL, L. SNAJDER, G. ANDREJKOVA a D. SVEDA. Innovation of University Subjects in Data Science Area within IT Academy Project. Online. In Jakab, F. 2018 16TH INTERNATIONAL CONFERENCE ON EMERGING ELEARNING TECHNOLOGIES AND APPLICATIONS (ICETA). NEW YORK: IEEE, 2018, s. 31-36. ISBN 978-1-5386-7914-2. Dostupné z: https://dx.doi.org/10.1109/ICETA.2018.8572036.

@inproceedings{1570676,
   author = {Antoni, L. and Bruoth, E. and Gunis, J. and Gursky, P. and Krajci, S. and Kridlo, O. and Navrátil, Radim and Snajder, L. and Andrejkova, G. and Sveda, D.},
   address = {NEW YORK},
   booktitle = {2018 16TH INTERNATIONAL CONFERENCE ON EMERGING ELEARNING TECHNOLOGIES AND APPLICATIONS (ICETA)},
   doi = {http://dx.doi.org/10.1109/ICETA.2018.8572036},
   editor = {Jakab, F},
   keywords = {Data mining; Data models; Data science; Training; Programming; Mathematics},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {NEW YORK},
   isbn = {978-1-5386-7914-2},
   pages = {31-36},
   publisher = {IEEE},
   title = {Innovation of University Subjects in Data Science Area within IT Academy Project},
   url = {https://ieeexplore.ieee.org/document/8572036},
   year = {2018}
}

TY  - JOUR
ID  - 1570676
AU  - Antoni, L. - Bruoth, E. - Gunis, J. - Gursky, P. - Krajci, S. - Kridlo, O. - Navrátil, Radim - Snajder, L. - Andrejkova, G. - Sveda, D.
PY  - 2018
TI  - Innovation of University Subjects in Data Science Area within IT Academy Project
PB  - IEEE
CY  - NEW YORK
SN  - 9781538679142
KW  - Data mining
KW  - Data models
KW  - Data science
KW  - Training
KW  - Programming
KW  - Mathematics
UR  - https://ieeexplore.ieee.org/document/8572036
L2  - https://ieeexplore.ieee.org/document/8572036
N2  - Data analysis solutions are already being used in many areas of technical, natural, humanitarian and economic sciences. Moreover, data analysis experts are already a scarce, and students with knowledge of Data Science have the potential to be highly desirable in the labor market. We present the data classification tasks and provide basic methods for measuring precision of classification. In conclusion, we bring a review of Data Science subjects that are introduced and innovated at universities within the IT Academy Project.
ER  -

ANTONI, L., E. BRUOTH, J. GUNIS, P. GURSKY, S. KRAJCI, O. KRIDLO, Radim NAVRÁTIL, L. SNAJDER, G. ANDREJKOVA a D. SVEDA. Innovation of University Subjects in Data Science Area within IT Academy Project. Online. In Jakab, F. \textit{2018 16TH INTERNATIONAL CONFERENCE ON EMERGING ELEARNING TECHNOLOGIES AND APPLICATIONS (ICETA)}. NEW YORK: IEEE, 2018, s.~31-36. ISBN~978-1-5386-7914-2. Dostupné z: https://dx.doi.org/10.1109/ICETA.2018.8572036.

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