| Title: |
A Review of Multi-Label Classification Methods |
| Author(s): |
G. Tsoumakas, I. Katakis, I. Vlahavas.
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| Availability: |
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| Keywords: |
Multi-Label Classification, Classification.
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| Appeared in: |
2nd ADBIS Workshop on Data Mining and Knowledge Discovery, pp. 99-109, 2006.
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| Abstract: |
Nowadays, multi-label classification methods are increasingly required by modern applications, such as protein function classification, music categorization and semantic scene classification. This paper introduces the task of multi-label classification, organizes the sparse related literature into a structured presentation and performs comparative experimental results of certain multi-label classification methods. It also contributes the presentation of an undocumented method and the definition of a concept for the quantification of the multi-label nature of a data set. |
| See also : |
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This paper has been cited by the following:
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Yang, S., Kim, S.-K., Ro, Y.M. “Semantic home photo categorization”, (2007) IEEE Transactions on Circuits and Systems for Video Technology, 17 (3), pp. 324-335. |
| 2 |
K. Brinker, E. Hüllermeier, "Case-Based Multilabel Ranking", Proc. International Joint Conference on Artificial Intelligence (IJCAI 07), pp. 702-707, Hyderabad, India, January 6-12, 2007.
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| 3 |
Bindoff, I. (2010) Multiple classification ripple round rules: classifications as conditions. PhD Thesis, University of Tasmania.
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| 4 |
Ávila-Jiménez, J.L., Gibaja, E., Ventura, S. (2010) Evolving multi-label classification rules with gene expression programming: A preliminary study, 5th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2010, San Sebastian, 23-25 June 2010, Proceedings, Part II, pp. 9-16.
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| 5 |
Qu, G., Zhang, H., Hartrick, C.T. (2011) Multi-label classification with Bayes' theorem, Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011, 4, art. no. 6098780, pp. 2281-2285.
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| 6 |
Wu, H., Qu, G., Zhang, H., Hartric, C. (2011) Constrained Multi-Label Classification: A Semidefinite Programming Approach, Proc. the 2011 International Conference on Data Mining, DMIN'11,
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| 7 |
Mamakis, G., Malamos, A.G., Ware, J.A. (2011) An alternative approach for statistical single-label document classification of newspaper articles, Journal of Information Science, 37 (3), pp. 293-303.
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| 8 |
Ávila, J.L., Gibaja, E.L., Zafra, A., Ventura, S. (2011) A gene expression programming algorithm for multi-label classification, Journal of Multiple-Valued Logic and Soft Computing, 17 (2-3), pp. 183-206.
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| 9 |
Qu, G., Wu, H., Hartrick, C.T., Niu, J. (2012) Local analgesia adverse effects prediction using multi-label classification, Neurocomputing, 92, pp. 18-27. |
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