References
- Patricia L. Mabry. Making Sense of the Data Explosion. American Journal of Preventive Medicine, 2011, 40(5),pp.12-30.
- Viktor Mayer-Schonberger,Kenneth Cukier,Big Data: A Revolution That Will Transform How We Live, Work and Think, Hodder & Stoughton,2013.
- Letouzey, S. Huberlant, P. Mares et al.. Assessment of Quality of Life of Patients Supported for Genital Prolapse Surgery: Feasibility of a Computerized Data Collection. The Journal of Minimally Invasive Gynecology, 2011, 18(6).
- W. Aigner, A. Rind, S. Hoffmann. Comparative Evaluation of an Interactive Time-Series Visualization that Combines Quantitative Data with Qualitative Abstractions,Computer Graphics Forum, 2012, 31,pp.3-15.
- B. Zhu, L. Xu, D. Faries et al.. PMH83 Comparison of Total Health Care Costs Between Remitters and Non-Remitters for Schizophrenia Patients from a Prospective Longitudinal, Observational Study in the Presence of Missing Data. Value in Health, 2012, 15(4),pp.100-120.
- Hassibi,Khosrow & De, Big Data, Data Mining, and Machine Learn, John Wiley Sons, 2014.
- Ahmed M. Abdel-Khalek, Mostafa A. Elseifi, Kevin Gaspard et al.. Model to Estimate Pavement Structural Number at Network Level with Rolling Wheel Deflectometer Data. Transportation Research Record: Journal of the Transportation Research Board, 2012, 2,pp.30- 41.
- Lee, Keon Myung & Park, Seung Jong & Lee, Soft Computing in Big Data Processing, Springer, 2014.
- Yanqing Lv, Jianmin Gao, Zhiyong Gao and Hongquan Jiang, “Multifractal information fusion based condition diagnosis for process complex”, Process Mechanical Engineering, (2012),pp.1-8.
- Bauckhage C, Kersting K. Data mining and pattern recognition in agriculture, KI-Künstliche Intelligenz, 2013, 27(4): 313-324