Dessislava Petrova-Antonova
ABSTRACT
Big Data is attracting increasing amount of attention among academy, industry and citizens. It poses both opportunities and challenges for society as a whole. In order to gain value from Big Data, it needs to be processed and analysed in an appropriate way, and the results have to be presented in a visual manner as to be able to effectively support decision making. Following the current trends in Big Data, this paper aims to prove the value-creation of Big Data by proposing a new data model in the field of the primary and secondary education in Bulgaria. It follows the Big Data Value Chain concept in order to group the schools depending on the concentration of students with learning deficits and risk of premature leaving the education system. The primary purpose of the proposed Data Model is to drive decisions by turning information into intelligence.
- Communication from the Commission to the European Parliament, The Council, The European Economic and Social Committee and The Committee of the Regions: Towards a thriving data-driven economy.Google Scholar
- IDC, "The Digital Universe of Opportunities: Rich Data and the Increasing Value of the Internet of Things", https://www.emc.com/collateral/analyst-reports/idc-digital-universe-2014.pdfGoogle Scholar
- OECD, "New sources of growth-knowledge based capital", http://www.oecd.org/sti/inno/newsourcesofgrowthknowledge-basedcapital.htmGoogle Scholar
- IBM, "Bringing big data to the enterprise", http://www-01.ibm.com/software/data/bigdata/what-is-big-data.htmlGoogle Scholar
- http://www.bdva.eu/Google Scholar
- https://www.researchgate.net/publication/262211098_Big-Data_Applications_in_the_Government_SectorGoogle Scholar
- http://insidebigdata.com/2015/07/07/case-studies-big-data-and-scientific-research/Google Scholar
- https://ec.europa.eu/digital-single-market/news/communication-data-driven-economyGoogle Scholar
- http://ec.europa.eu/regional_policy/en/atlas/programmes/2014-2020/bulgaria/2014bg05m2op001Google Scholar
- The BIG Project, http://www.big-project.eu/Google Scholar
- M. Pospiech and C. Felden, "Big Data -- A State-of-the-Art," Eighteenth Americas Conference on Information Systems, Seattle, Washington, August 9-12, 2012, pp. 1--12.Google Scholar
- I. Yaqoob, V. Chang, A. Gani, S. Mokhtar, I. Hashem, E. Ahmed, N. Anuar, and S. Khan, "Information fusion in social big data: Foundations, state-of-the-art, applications, challenges, and future research directions," in International Journal of Information Management, 2016, in press.Google Scholar
- W. Fan and A. Bifet, "Mining Big Data: Current Status, and Forecast to the Future," in ACM SIGKDD Explorations Newsletter, Vol. 14, Issue 2, 2012, pp. 1--5. Google ScholarDigital Library
- Rajeshwari, "State of the Art of Big Data Analytics: A Survey," in International Journal of Computer Applications (0975-8887), Vol. 120, No.22, June 2015, pp. 39--46.Google Scholar
- S. Chalmers, C. Bothorel, R. Picot-Clemente, "Big Data - State of the Art," 2013, pp.28.Google Scholar
- L. Zhang, A. Stoffel, M. Behrisch, S. Mittelstadt, T. Schreck, P. Pompl, S. Weber, H. Last, and D. Keim, "Visual Analytics for the Big Data Era -- A Comparative Review of State-of-the-Art Commercial Systems," IEEE Conference on Visual Analytics Science and Technology 2012, October 14 - 19, Seattle, WA, USA, pp. 173--182. Google ScholarDigital Library
- Cuzzocrea, "Big Data Provenance: State-Of-The-Art Analysis and Emerging Research Challenges," EDBT/ICDT 2016 Joint Conference, March 15, 2016, (ISSN 1613-0073), 2016.Google Scholar
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