A new ant colony algorithm for multi-label classification with applications in bioinfomatics

@inproceedings{Chan2006ANA,
  title={A new ant colony algorithm for multi-label classification with applications in bioinfomatics},
  author={Allen Chan and Alex Alves Freitas},
  booktitle={GECCO},
  year={2006}
}
The conventional classification task of data mining can be called single-label classification, since there is a single class attribute to be predicted. This paper addresses a more challenging version of the classification task, where there are two or more class attributes to be predicted. We propose a new ant colony algorithm for the multi-label classification task. The new algorithm, called MuLAM (Multi-Label Ant-Miner) is a major extension of Ant-Miner, the first ant colony algorithm for… CONTINUE READING
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