PCMIgr: a fast packet classification method based on information gain ratio
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2023
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oai:localhost:PNK-73302023-03-30T04:12:36Z PCMIgr: a fast packet classification method based on information gain ratio Yuzhu, Cheng Qiuying, Shi PCMIgr information entropy CC BY To solve the problem of ambiguous attribute selection in existing decision tree classification algorithms, a decision tree construction method based on information entropy, PCMIgr, is proposed. PCMIgr is a heuristic method based on greedy strategy. At each decision tree node, when it is necessary to select classification attributes for division, the attribute with the highest information gain ratio is selected. The main innovation of this method is that the attribute selection in the traditional classification method based on decision tree is optimized, and the classification efficiency of the constructed decision tree is improved compared with that before optimization. 2023-03-30T04:12:36Z 2023-03-30T04:12:36Z 2023 Book https://link.springer.com/article/10.1007/s11227-022-04951-0 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7330 en application/pdf Springer |
institution |
Digital Phenikaa |
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Digital Phenikaa |
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English |
topic |
PCMIgr information entropy |
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PCMIgr information entropy Yuzhu, Cheng Qiuying, Shi PCMIgr: a fast packet classification method based on information gain ratio |
description |
CC BY |
format |
Book |
author |
Yuzhu, Cheng Qiuying, Shi |
author_facet |
Yuzhu, Cheng Qiuying, Shi |
author_sort |
Yuzhu, Cheng |
title |
PCMIgr: a fast packet classification method based on information gain ratio |
title_short |
PCMIgr: a fast packet classification method based on information gain ratio |
title_full |
PCMIgr: a fast packet classification method based on information gain ratio |
title_fullStr |
PCMIgr: a fast packet classification method based on information gain ratio |
title_full_unstemmed |
PCMIgr: a fast packet classification method based on information gain ratio |
title_sort |
pcmigr: a fast packet classification method based on information gain ratio |
publisher |
Springer |
publishDate |
2023 |
url |
https://link.springer.com/article/10.1007/s11227-022-04951-0 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7330 |
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1761821913798148096 |
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8.891145 |