About this paper

Appears in:
Pages: 10935-10943
Publication year: 2019
ISBN: 978-84-09-14755-7
ISSN: 2340-1095
doi: 10.21125/iceri.2019.2689

Conference name: 12th annual International Conference of Education, Research and Innovation
Dates: 11-13 November, 2019
Location: Seville, Spain

DATA SCIENCE: CHALLENGES AND TRENDS

K. Rasheva-Yordanova1, S. Toleva-Stoimenova1, D. Christozov2

1University of Library Studies and Information Technologies (BULGARIA)
2American University in Bulgaria (AUB) (BULGARIA)
With the vast amounts of data available in the world, most companies today are focusing on data usage to identify the strengths, weaknesses, and opportunities in business. Аn area called "data science" аppeared, closely related to the data mining concept. "Data science" is a term that has entered public perception and imagination only since the first half of the decade, but today it is extremely popular in science, practice, and education. It includes tools, methods, and systems applied to big data to leverage knowledge for decision-making. Based on the literature review and initial findings, this research study found that there are differences in the understanding of the term "data science" by academics and practitioners. This article aims to outline, on the one hand, a comprehensive framework of data science competences and on the other to sum up the inter and multidisciplinarity of the area. In result, is presented a review of the existing definitions and Fundamental Concept of Data Science. Тhe available opportunities for competency development in the Data Science area are discussed.
@InProceedings{RASHEVAYORDANOVA2019DAT,
author = {Rasheva-Yordanova, K. and Toleva-Stoimenova, S. and Christozov, D.},
title = {DATA SCIENCE: CHALLENGES AND TRENDS},
series = {12th annual International Conference of Education, Research and Innovation},
booktitle = {ICERI2019 Proceedings},
isbn = {978-84-09-14755-7},
issn = {2340-1095},
doi = {10.21125/iceri.2019.2689},
url = {http://dx.doi.org/10.21125/iceri.2019.2689},
publisher = {IATED},
location = {Seville, Spain},
month = {11-13 November, 2019},
year = {2019},
pages = {10935-10943}}
TY - CONF
AU - K. Rasheva-Yordanova AU - S. Toleva-Stoimenova AU - D. Christozov
TI - DATA SCIENCE: CHALLENGES AND TRENDS
SN - 978-84-09-14755-7/2340-1095
DO - 10.21125/iceri.2019.2689
PY - 2019
Y1 - 11-13 November, 2019
CI - Seville, Spain
JO - 12th annual International Conference of Education, Research and Innovation
JA - ICERI2019 Proceedings
SP - 10935
EP - 10943
ER -
K. Rasheva-Yordanova, S. Toleva-Stoimenova, D. Christozov (2019) DATA SCIENCE: CHALLENGES AND TRENDS, ICERI2019 Proceedings, pp. 10935-10943.
User:
Pass: