@article{springerlink:10.1007/s10115-010-0356-2,
  abstract = {Subgroup discovery is a data mining technique which extracts interesting rules with respect to a target variable. An important characteristic of this task is the combination of predictive and descriptive induction. An overview related to the task of subgroup discovery is presented. This review focuses on the foundations, algorithms, and advanced studies together with the applications of subgroup discovery presented throughout the specialised bibliography.},
  affiliation = {Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain},
  author = {Herrera, Franciso and Carmona, Cristóbal and González, Pedro and del Jesus, María},
  doi = {10.1007/s10115-010-0356-2},
  interhash = {54d81a413473b482266e009d272c319a},
  intrahash = {3cef7c3a62fcc6ae55753570bd041f5e},
  issn = {0219-1377},
  journal = {Knowledge and Information Systems},
  keyword = {Computer Science},
  pages = {1-31},
  publisher = {Springer London},
  title = {An overview on subgroup discovery: foundations and applications},
  url = {http://dx.doi.org/10.1007/s10115-010-0356-2},
  year = 2010
}