Pham, Thanh-Huyen and Van-Tuan, Phan and Thi-Ngan, Pham and Thi-Hong, Vuong and Tri-Thanh, Nguyen and Quang-Thuy, Ha A multi-label classification framework using the covering based decision table. In: 14th Asian Conference on Intelligent Information and Database Systems, Ho Chi Minh City, Vietnam. (In Press)
Full text not available from this repository.Abstract
Multi-label classification (MLC) has recently drawn much attention thanks to its usefulness and omnipresence in real-world applications, in which objects may be characterized by more than one labels. One of the challenges in MLC is to deter-mine the relationship between the labels due to the fact that there is not any as-sumptions of the independence between labels, and there is not any information and knowledge about these relationships in a training dataset. Recently, many re-searches have focused on exploiting these label relationships to enhance the per-formance of the classification, however there have not many of them using the covering rough set. This paper propose a multi-label classification algorithm named CDTML, based on ML-KNN algorithm, using covering based decision table which exploits the relationship between labels to enhance the performance of the multi-label classifier. The experimental results on serveral dataset of Enron, Medical and a Vietnamese dataset of hotel reviews shown the effectiveness of the proposed algorithm.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Information Technology (IT) ISI/Scopus indexed conference |
| Divisions: | Faculty of Information Technology (FIT) |
| Depositing User: | Ass. Prof. Tri-Thanh NGUYEN |
| Date Deposited: | 22 Aug 2022 03:58 |
| Last Modified: | 22 Aug 2022 03:58 |
| URI: | http://eprints.uet.vnu.edu.vn/eprints/id/eprint/4751 |
Actions (login required)
 |
View Item |
