Home Releases 2018, №4 (18)

Methods and Models for Solving Classification Problems in Innovative Forecasting of Scientific and Technological Development using the Intellectual Analysis of «Large» Data

Branch Economy and State Regulation , UDC: 338.27 DOI: 10.25688/2312-6647.2018.18.4.1

Authors

  • Dundik Elena Petrovna PhD (Economics), head of the Graduate School of Central Research Institute «Center». E-mail: d28aspirant@mail.ru

How to link insert

Dundik, E. P. (2018). Methods and Models for Solving Classification Problems in Innovative Forecasting of Scientific and Technological Development using the Intellectual Analysis of «Large» Data Bulletin of the Moscow City Pedagogical University. Series "Pedagogy and Psychology", 2018, №4 (18), 8-16. https://doi.org/10.25688/2312-6647.2018.18.4.1
References
1. Mirkin B. Core Concepts in Data Analysis: Summarization, Correlation and Visua­lization. Springer, 2011. 390 p.
2. V'yugin V.V. Matematicheskie osnovy' mashinnogo obucheniya i prognozirovaniya. M.: MCzNMO, 2013. 304 s.
3. Furnkranz J. Separate-and-conquer rule learning // Artificial Intelligence Review. Vol. 13. 1999. Pp. 3-54.
4. Quinlan J.R. C4.5: Programs for Machine Learning. San Francisco: Morgan Kaufmann Publishers Inc., 1993.
5. Kuznetsov S.O. Scalable Knowledge Discovery in Complex Data with Pattern Structures // 5th International Conference Pattern Recognition and Machine Intelligence. 2013. Vol. 8251. Pp. 30-41.
6. Hagan M.T., H.B.D., M.H.B., De Jesus O. Neural Network Design. 2nd ed. Martin Hagan, 2014. 800 p.
7. Neagoe V.E., Carata S.V., Ciotec A.D. An advanced neural network-based ap­proach for military ground vehicle recognition in SAR aerial imagery // Scientific Research and Education in the Air Force. Vol. 18. 2016. Pp. 41-48.
Download file .pdf 348.88 kb