Improving the ID3 Algorithm By Filtering Out Attributes With Values Of 0 or 1
| dc.contributor.author | Pinyarat Chuenprasertsuk | |
| dc.contributor.author | Kietikul Jearanaitanakij | |
| dc.date.accessioned | 2026-05-08T19:23:16Z | |
| dc.date.issued | 2022-11-10 | |
| dc.description.abstract | The iterative Dichotomiser 3 (ID3) algorithm is a classification algorithm that generates a decision tree, and it is one of the most simple and well-known tools. However, there is still room for improvement. This paper aims to reduce the running time of generating a decision tree by ignoring attributes that have an information gain value of 0 or 1 and the experiment result shows that the improved ID3 algorithm can significantly reduce the running time by more than 10 percent when compared with the traditional ID3 algorithm. | |
| dc.identifier.doi | 10.1109/incit56086.2022.10067614 | |
| dc.identifier.uri | https://dspace.kmitl.ac.th/handle/123456789/18977 | |
| dc.subject | Data Mining Algorithms and Applications | |
| dc.subject | Data Mining and Machine Learning Applications | |
| dc.subject | Rough Sets and Fuzzy Logic | |
| dc.title | Improving the ID3 Algorithm By Filtering Out Attributes With Values Of 0 or 1 | |
| dc.type | Article |