Multi-Label Collective Classification

@inproceedings{Kong2011MultiLabelCC,
  title={Multi-Label Collective Classification},
  author={Xiangnan Kong and Xiaoxiao Shi and Philip S. Yu},
  booktitle={SDM},
  year={2011}
}
  • Xiangnan Kong, Xiaoxiao Shi, Philip S. Yu
  • Published in SDM 2011
  • Computer Science
  • Collective classification in relational data has become an important and active research topic in the last decade, where class labels for a group of linked instances are correlated and need to be predicted simultaneously. Collective classification has a wide variety of real world applications, e.g. hyperlinked document classification, social networks analysis and collaboration networks analysis. Current research on collective classification focuses on single-label settings, which assumes each… CONTINUE READING
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