Learning from Imbalanced Data in Relational Domains: A Soft Margin Approach

Learning from Imbalanced Data in Relational Domains: A Soft Margin Approach. Yang, S., Khot, T., Kersting, K., Kunapuli, G., Hauser, K., & Natarajan, S. In Kumar, R., Toivonen, H., Pei, J., Huang, J. Z., & Wu, X., editors, 2014 IEEE International Conference on Data Mining, ICDM 2014, Shenzhen, China, December 14-17, 2014, pages 1085--1090, 2014. IEEE.

Paper doi bibtex

@inproceedings{DBLP:conf/icdm/YangKKKHN14,
  author = {Yang, Shuo and Khot, Tushar and Kersting, Kristian and Kunapuli, Gautam and Hauser, Kris and Natarajan, Sriraam},
  bibsource = {dblp computer science bibliography, http://dblp.org},
  booktitle = {2014 {IEEE} International Conference on Data Mining, {ICDM} 2014,
               Shenzhen, China, December 14-17, 2014},
  crossref = {DBLP:conf/icdm/2014},
  doi = {10.1109/ICDM.2014.152},
  editor = {Kumar, Ravi and Toivonen, Hannu and Pei, Jian and Huang, Joshua Zhexue and Wu, Xindong},
  interhash = {fb3e0e55d5045384dfa6eef53594f5ad},
  intrahash = {8214e15d7c3b0b37481341d0ef274b9d},
  isbn = {978-1-4799-4302-9},
  pages = {1085--1090},
  publisher = {{IEEE}},
  title = {Learning from Imbalanced Data in Relational Domains: {A} Soft Margin
               Approach},
  url = {http://dx.doi.org/10.1109/ICDM.2014.152},
  year = 2014
}

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