@InProceedings{morton_et_al:LIPIcs.GISCIENCE.2018.51,
  author =	{Morton, April and Piburn, Jesse and Nagle, Nicholas},
  title =	{{Need A Boost? A Comparison of Traditional Commuting Models with the XGBoost Model for Predicting Commuting Flows}},
  booktitle =	{10th International Conference on Geographic Information Science (GIScience 2018)},
  pages =	{51:1--51:7},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-083-5},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{114},
  editor =	{Winter, Stephan and Griffin, Amy and Sester, Monika},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GISCIENCE.2018.51},
  URN =		{urn:nbn:de:0030-drops-93793},
  doi =		{10.4230/LIPIcs.GISCIENCE.2018.51},
  annote =	{Keywords: Machine learning, commuting modeling}
}