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2009 IEEE International Conference on Data Mining Workshops
Spatiotemporal Relational Random Forests
Miami, Florida, USA
December 06-December 06
ISBN: 978-0-7695-3902-7
| ASCII Text | x | ||
| Timothy A. Supinie, Amy McGovern, John Williams, Jennifer Abernathy, "Spatiotemporal Relational Random Forests," 2012 IEEE 12th International Conference on Data Mining Workshops, pp. 630-635, 2009 IEEE International Conference on Data Mining Workshops, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/ICDMW.2009.89, author = {Timothy A. Supinie and Amy McGovern and John Williams and Jennifer Abernathy}, title = {Spatiotemporal Relational Random Forests}, journal ={2012 IEEE 12th International Conference on Data Mining Workshops}, volume = {0}, year = {2009}, isbn = {978-0-7695-3902-7}, pages = {630-635}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDMW.2009.89}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2012 IEEE 12th International Conference on Data Mining Workshops TI - Spatiotemporal Relational Random Forests SN - 978-0-7695-3902-7 SP630 EP635 A1 - Timothy A. Supinie, A1 - Amy McGovern, A1 - John Williams, A1 - Jennifer Abernathy, PY - 2009 VL - 0 JA - 2012 IEEE 12th International Conference on Data Mining Workshops ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDMW.2009.89
We introduce and validate Spatiotemporal Relational Random Forests, which are random forests created with spatiotemporal relational probability trees. We build on the documented success of random forests by bringing spatiotemporal capabilities to the trees, enabling them to identify critical spatial, temporal, and spatiotemporal features in the data. We validate our results on simulated data and real-world convectively-induced turbulence data from a commercial airline flying in the continental United States.
Citation:
Timothy A. Supinie, Amy McGovern, John Williams, Jennifer Abernathy, "Spatiotemporal Relational Random Forests," icdmw, pp.630-635, 2009 IEEE International Conference on Data Mining Workshops, 2009
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