@InProceedings{shati_et_al:LIPIcs.CP.2021.50,
  author =	{Shati, Pouya and Cohen, Eldan and McIlraith, Sheila},
  title =	{{SAT-Based Approach for Learning Optimal Decision Trees with Non-Binary Features}},
  booktitle =	{27th International Conference on Principles and Practice of Constraint Programming (CP 2021)},
  pages =	{50:1--50:16},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-211-2},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{210},
  editor =	{Michel, Laurent D.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CP.2021.50},
  URN =		{urn:nbn:de:0030-drops-153416},
  doi =		{10.4230/LIPIcs.CP.2021.50},
  annote =	{Keywords: Decision Tree, Classification, Numeric Data, Categorical Data, SAT, MaxSAT}
}