Research on college English student individual learning based on data mining model

DOI

10.2991/icence-16.2016.53How to use a DOI?

Keywords

Data mining technology;college English student individual learning ;

Abstract

Data mining technology is generally to process, observe and analyze large-scale data by use of statistic analysis software, aiming to find the hidden rule or effective information existing in data. The application core of the data is large-scale college English student individual learning which completely depends on data source. With data mining technology as the entry point and in combination with the analysis on college English student individual learning characteristics, college English student individual learning implementation access based on data mining combination model has been explored in the thesis. Research on variable substitution to non-linear regression forecast model precision's influence, and seek the modelling method that can improve the forecast precision. Based on the Data mining, the transform in space and the weighted processing combined method, make full use of information that the primary data provide.

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/).

Download article (PDF)

TY  - CONF
AU  - Fengjuan Zhang
PY  - 2016/09
DA  - 2016/09
TI  - Research on college English student individual learning based on data mining model
BT  - Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)
PB  - Atlantis Press
SP  - 251
EP  - 254
SN  - 2352-538X
UR  - https://doi.org/10.2991/icence-16.2016.53
DO  - 10.2991/icence-16.2016.53
ID  - Zhang2016/09
ER  -