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Ontology based Web Page Classification System by using Enhanced C4.5 and Naïve Bayesian Classifiers
http://hdl.handle.net/20.500.12678/0000007368
http://hdl.handle.net/20.500.12678/00000073688321628c-2f41-42f8-b2f1-4f5846983ced
49c232fd-813b-4fcc-ac48-f4692cf2702a
Name / File | License | Actions |
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9. Ontology based Web Page Classification System by myuwai2018 volume3 pg 286-291 (Phyu Thwe).pdf (2.8 MB)
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Publication type | ||||||
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Conference paper | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Ontology based Web Page Classification System by using Enhanced C4.5 and Naïve Bayesian Classifiers | |||||
Language | en | |||||
Publication date | 2018-10-20 | |||||
Authors | ||||||
Hnin Pwint Myu Wai | ||||||
Phyu Phyu Tar | ||||||
Phyu Thwe | ||||||
Description | ||||||
For classification, this system proposes the enhanced C4.5 decision tree and Naive Bayesian (NB) classifiers. In the original C4.5 classification algorithm, the traditional entropy measure is unable to measure the appropriateness of nodes when the class labels are the same. | ||||||
Keywords | ||||||
semantic, classification, ontology, C4.5, NB | ||||||
Identifier | http://www.guide2research.com/conference/iciibms-2018 | |||||
Conference papers | ||||||
ICIIBMS 2018 | ||||||
31-07-2018 | ||||||
International Conference on Intelligent Informatics and Biomedical Sciences (IEEE) | ||||||
Thailand | ||||||
http://www.guide2research.com/conference/iciibms-2018 |