Common Sense Knowledge Based Hybrid Interestingness Measures for Data Mining

In-Gi Lee, Hwan-Seung Yong. Common Sense Knowledge Based Hybrid Interestingness Measures for Data Mining. In Geuk Lee, Daniel Howard, Jeong Jin Kang, Dominik Slezak, editors, Convergence and Hybrid Information Technology - 6th International Conference, ICHIT 2012, Daejeon, Korea, August 23-25, 2012. Proceedings. Volume 7425 of Lecture Notes in Computer Science, pages 146-154, Springer, 2012. [doi]

@inproceedings{LeeY12-13,
  title = {Common Sense Knowledge Based Hybrid Interestingness Measures for Data Mining},
  author = {In-Gi Lee and Hwan-Seung Yong},
  year = {2012},
  doi = {10.1007/978-3-642-32645-5_19},
  url = {http://dx.doi.org/10.1007/978-3-642-32645-5_19},
  researchr = {https://researchr.org/publication/LeeY12-13},
  cites = {0},
  citedby = {0},
  pages = {146-154},
  booktitle = {Convergence and Hybrid Information Technology - 6th International Conference, ICHIT 2012, Daejeon, Korea, August 23-25, 2012. Proceedings},
  editor = {Geuk Lee and Daniel Howard and Jeong Jin Kang and Dominik Slezak},
  volume = {7425},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-32644-8},
}