%0 Conference Paper %1 conf/xsede/KurianC17 %A Kurian, George %A Chi, Hongmei %B PEARC %D 2017 %E Hart, David L. %E Dahan, Maytal %I ACM %K dblp %P 68:1-68:4 %T Predict Florida Tourism Trend via Using Data Mining Techniques. %U http://dblp.uni-trier.de/db/conf/xsede/pearc2017.html#KurianC17 %@ 978-1-4503-5272-7

@inproceedings{conf/xsede/KurianC17, added-at = {2018-11-06T00:00:00.000+0100}, author = {Kurian, George and Chi, Hongmei}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/28ce98abdb124894c2f433d5e0d4473bf/dblp}, booktitle = {PEARC}, crossref = {conf/xsede/2017}, editor = {Hart, David L. and Dahan, Maytal}, ee = {https://doi.org/10.1145/3093338.3104161}, interhash = {2ff78d5cf63f363fe8173fa663358252}, intrahash = {8ce98abdb124894c2f433d5e0d4473bf}, isbn = {978-1-4503-5272-7}, keywords = {dblp}, pages = {68:1-68:4}, publisher = {ACM}, timestamp = {2019-09-27T15:21:52.000+0200}, title = {Predict Florida Tourism Trend via Using Data Mining Techniques.}, url = {http://dblp.uni-trier.de/db/conf/xsede/pearc2017.html#KurianC17}, year = 2017 }