Have a personal or library account? Click to login
The Role of Big Data in Industry 4.0 in Mining Industry in Serbia Cover

The Role of Big Data in Industry 4.0 in Mining Industry in Serbia

Open Access
|Apr 2020

References

  1. Amara, A. D., 2013. Google’s self-driving car gathers nearly 1 GB/sec. Kurzweil. Available from: https://www.kurzweilai.net/googles-self-driving-car-gathers-nearly-1-gbsec
  2. Cloud Security Alliance, 2013. Expanded Top Ten Big Data Security and Privacy Challenges. DOI: 10.13140/RG.2.1.1744.1127
  3. DAMA UK Working Group, 2013. The six primary dimensions for data quality assessment. Available from: https://www.whitepapers.em360tech.com/wp-content/files_mf/1407250286DAMAUKDQDimensionsWhitePaperR37.pdf
  4. English, L., 1999. Improving Data Warehouse and Business Information Quality, Wiley, New York.
  5. Gulf Business Machine, 2019. The Unspoken truth: The role of cybersecurity in breaking the digital transformation deadlock. GBM 8th Annual Security Survey 2019.Available from: https://gbmme.com/wp-content/uploads/2019/10/GBM-Security-Whitepaper-2019.pdf
  6. Hwang, K., Chen, M., 2017. Big-data analytics for cloud, IoT and cognitive computing, Wiley, Hoboken.
  7. International Data Corporation, 2019. The Growth in Connected IoT Devices Is Expected to Generate 79.4ZB of Data in 2025, According to a New IDC Forecast. Available from: https://www.idc.com/getdoc.jsp?containerId=prUS45213219
  8. Lake, P., Drake, R., 2014. Information Systems Management in the Big Data Era, Springer, Cham.
  9. Laney, D., 2001. 3D Data Management: Controlling Data Volume, Velocity and Variety. META Group. Available from: https://blogs.gartner.com/doug-laney/files/2012/01/ad949-3D-Data-Management-Controlling-Data-Volume-Velocity-and-Variety.pdf
  10. Lee, J., Lapira E., Bagheri, B., Kao, H., 2013. Recent advances and trends in predictive manufacturing systems in big data environment. Manufacturing Letters 1(1), 38-41, DOI: 10.1016/j.mfglet.2013.09.005
  11. Liew, A., 2007. Understandingdata, information, knowledge, and their interrelationships. Journal of Knowledge Management Practice, 7(2), 1-10.
  12. Manyika, J. et al., 2011. Big data: The next frontier for innovation, competition. and productivity. McKinsey Global Institute. Available from:https://www.mckinsey.com/business-functions/mckinsey-digital/our-insights/big-data-the-next-frontier-for-innovation
  13. Moura, J. A., Serrao, C., 2015. Security and Privacy Issues of Big Data.Handbook of Research on Trends and Future Directions in Big Data and Web Intelligence, 20-52, DOI: 10.4018/978-1-4666-8505-5.ch002
  14. Novotný, O., Pour, J., Slánský D., 2005. Business intelligence: jak využít bohatství ve vašich datech. Grada Publishing, Praha.
  15. Tao, F., Qi, Q., Liu, A., Kusiak, A., 2018. Data-driven smart manufacturing: An Overview and Perspective.Journal of Manufacturing Systems,48 (1), 157-169, DOI: 10.1016/j.jmsy.2018.01.006
Language: English
Page range: 166 - 173
Submitted on: Nov 28, 2019
Accepted on: Feb 18, 2020
Published on: Apr 18, 2020
Published by: Quality and Production Managers Association
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year

© 2020 Eva Tylečková, Darja Noskievičová, published by Quality and Production Managers Association
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.