Big Data and Big Data analytics

Authors & references

Authors:

Professor Emeritus Kauko Leiviskä, University of Oulu

References:

1. Mashey, J.R. 1998. Big Data … and the Next Wave of InfraStress”. Slides from invited talk. [Online] Available from: https://static.usenix.org/event/usenix99/invited_talks/mashey.pdf. Accessed June 20, 2020.
2. Grimes, S. 2013. Big Data: Avoid ‘Wanna V’ Confusion. InformationWeek. [Online] Available from:https://www.informationweek.com/big-data/big-data-analytics/big-data-avoid-wanna-v-confusion/d/d-id/1111077. Accessed June30, 2020.
3. Alexandru, A., Alexandru, C.A., Coardos, D., Tudora, E. 2016. Big Data: concepts, technologies and applications in the public sector. International Journal of Computer and Information Engineering 10(10), 1670–1676.
4. Reis, M.S., Gins, G. 2017. Industrial Process Monitoring in the Big Data/Industry 4.0 Era: From Detection, to Diagnosis, to Prognosis. Processes 5, 35, 16 p.
5. IBM website. Big data analytics. [Online] Available from: https://www.ibm.com/analytics/hadoop/big-data-analytics. Accessed July 16, 2020.
6. Goldin, E., Feldman, D., Georgoulas, G., Castaño, M., Nikolakopoulos, G. 2017. Cloud computing for big data analytics in the Process Control Industry. 25th Mediterranean Conference on Control and Automation (MED), Valletta, Malta, 1373-1378.
7. Baheti, R., Gill, H. 2011. Cyber-physical systems. [Online] Available from:http://ieeecss.org/sites/ieeecss/files/2019-07/IoCT-Part3-02CyberphysicalSystems.pdf Accessed July 10, 2020.
8. Lee, J., Bagheri, B., Kao, H.-A. 2015. A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems. Manufacturing Letters 3, 18–23.