Simulation on the effective guidance model for data flow in large scale multimedia teaching system

DOI

10.2991/amcce-15.2015.235How to use a DOI?

Keywords

multimedia; teaching system; data flow guidance;

Abstract

Effective guidance on data flow in large multimedia teaching system, can service student to the greatest degree. With the growth of covered data of multimedia teaching system, a lot of useful teaching information will be drown in the deluge of information in multimedia teaching. Using the traditional method for data flow guiding in large scale multimedia teaching system, it will be disturbed by the mass information, making the time-consuming data flow guide process, and low efficiency. Therefore, an effective guidance method for data flow in large-scale multimedia teaching system based on fuzzy support vector machine algorithm is proposed. Data attributive character of large multimedia teaching system is extracted, to provide accurate data base for data flow guidance. According to the theory of fuzzy support vector machine, obtain the optimal classification plane, so as to realize the optimization process of data flow guidance in the large multimedia teaching system. The experimental results show that using the improved algorithm for data flow guidance in the large multimedia teaching system, and can effectively shorten the data flow guiding time and ensure the results of data flow guiding to meet the requirements of teaching.

Copyright

© 2015, 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  - Wei Liu
PY  - 2015/04
DA  - 2015/04
TI  - Simulation on the effective guidance model for data flow in large scale multimedia teaching system
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.235
DO  - 10.2991/amcce-15.2015.235
ID  - Liu2015/04
ER  -