Research on the Application of SVM Classification in Frontier Science

DOI

10.2991/ammsa-17.2017.52How to use a DOI?

Keywords

support vector machine (SVM); frontier science; text classification; machine learning

Abstract

The frontier field of science is very active in every subject, and it has a distinct mechanics. This law is highlighted in the number of research results in the rapid acceleration of growth, and has a strong academic radiation. Analysis of the frontier of scientific research results based on the characteristics, this paper selects the theme about Mars immigrants in space science, through the network to collect related theme papers, published time, keyword, cited information from the text, based on the statistical treatment of frequency, learning algorithms using support vector machine the field of quantitative research, tracking statement, development, in order to determine the identification of science frontier literature.

Copyright

© 2017, 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  - Mei Du
AU  - Yue Zhu
PY  - 2017/05
DA  - 2017/05
TI  - Research on the Application of SVM Classification in Frontier Science
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
PB  - Atlantis Press
SP  - 240
EP  - 242
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-17.2017.52
DO  - 10.2991/ammsa-17.2017.52
ID  - Du2017/05
ER  -