Proceedings of the 2016 International Conference on Computer Engineering and Information Systems

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

Authors
Xin Jing, Hong-Da Li
Corresponding Author
Xin Jing
Available Online November 2016.
DOI
https://doi.org/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.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Conference on Computer Engineering and Information Systems
Part of series
Advances in Computer Science Research
Publication Date
November 2016
ISBN
978-94-6252-283-1
ISSN
2352-538X
DOI
https://doi.org/10.2991/ceis-16.2016.33How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 2016 International Conference on Computer Engineering and Information Systems
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/ceis-16.2016.33
DO  - https://doi.org/10.2991/ceis-16.2016.33
ID  - Jing2016/11
ER  -