Study on simulation data analysis of complex system based on data mining method

DOI

10.2991/icmmct-16.2016.350How to use a DOI?

Keywords

Data analysis, data mining, support vector machine ,parameter optimization

Abstract

Analysis of simulation data is purposefully collected data and analyze data, make this information or knowledge of the process is conducted in order to better understand and improve the system, is the focus of simulation problems. Due to existing simulation and data analysis methods, lacking to deal effectively with large scale and high dimension and interaction of complex method for simulation of complex data, so data mining techniques applied to the analysis of simulation data, using a prediction model based on support vector machine method for wide-range programme optimization and data trend forecast provides a solution to the problem.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jinhai Zhang
PY  - 2016/03
DA  - 2016/03
TI  - Study on simulation data analysis of complex system based on data mining method
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 1761
EP  - 1764
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.350
DO  - 10.2991/icmmct-16.2016.350
ID  - Zhang2016/03
ER  -