Improving Naive Bayes by Reducing the Importance of Low-Frequency Words Based on Entropy of Words for Spam Email Classification
| dc.contributor.author | Phaiboon Trikanjananun | |
| dc.contributor.author | Arjin Numsomran | |
| dc.contributor.author | Vittaya Tipsuwannaporn | |
| dc.date.accessioned | 2025-07-21T06:08:04Z | |
| dc.date.issued | 2022-11-27 | |
| dc.identifier.doi | 10.23919/iccas55662.2022.10003787 | |
| dc.identifier.uri | https://dspace.kmitl.ac.th/handle/123456789/11865 | |
| dc.subject | Statistical classification | |
| dc.subject.classification | Spam and Phishing Detection | |
| dc.title | Improving Naive Bayes by Reducing the Importance of Low-Frequency Words Based on Entropy of Words for Spam Email Classification | |
| dc.type | Article |