A New Algorithm of Grading and Classification for Massive Data Processing Based on Decision Tree
Xin Jing, Hong-Da Li
Available Online November 2016.
- https://doi.org/10.2991/ceis-16.2016.33How to use a DOI?
- massive data; data processing; information entry; grading and classification; decision tree
- 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.
- 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 SP - 169 EP - 173 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 -