A New Algorithm of Grading and Classification for Massive Data Processing Based on Decision Tree

DOI

10.2991/ceis-16.2016.33How to use a DOI?

Keywords

massive data; data processing; information entry; grading and classification; decision tree

Abstract

In the paper, the rules of grading and classification for decision tree have been discussed. By using the information entry gain ratio in dealing with classification, the accuracy of the algorithm has been improved. Based on the C4.5 method, an algorithm for massive data processing has been established by the decision tree with the rules. Based on the data CET4, the result shows that the decision tree method is effectively. From the result, the English learning strategies and suggestions have been put forward to the students with different foundation.

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  - Xin Jing
AU  - Hong-Da Li
PY  - 2016/11
DA  - 2016/11
TI  - A New Algorithm of Grading and Classification for Massive Data Processing Based on Decision Tree
BT  - Proceedings of the 2016 International Conference on Computer Engineering and Information Systems
PB  - Atlantis Press
SP  - 169
EP  - 173
SN  - 2352-538X
UR  - https://doi.org/10.2991/ceis-16.2016.33
DO  - 10.2991/ceis-16.2016.33
ID  - Jing2016/11
ER  -