Mining positive and negative weighted association rules in medical records without user-specified weights based on HITS model

@article{Xie2010MiningPA,
  title={Mining positive and negative weighted association rules in medical records without user-specified weights based on HITS model},
  author={Wei Xie and Jing Wu},
  journal={2010 3rd International Conference on Biomedical Engineering and Informatics},
  year={2010},
  volume={6},
  pages={2325-2329}
}
  • Wei Xie, Jing Wu
  • Published 2010 in
    2010 3rd International Conference on Biomedical…
One of the challenging problems in the weighted association rules mining is to assign weights to items. For practice, self-assigned weights technique is more useful. In this paper, we proposed a self-assigned weights method to discover positive and negative association rules, instead of assigning the weights by users. To avoid mining misleading and uninteresting rules, a new type parameter, called sawinterest, is proposed to eliminate the redundant rules. The rational results are presented.