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Multiscale graph theoretical tools reveal subtle patterns in big geospatial data

Ronald D. Hagan, Charles A. Phillips, Michael A. Langston, Bradley J. Rhodes. Multiscale graph theoretical tools reveal subtle patterns in big geospatial data. In Jian-Yun Nie, Zoran Obradovic, Toyotaro Suzumura, Rumi Ghosh, Raghunath Nambiar, Chonggang Wang, Hui Zang, Ricardo A. Baeza-Yates, Xiaohua Hu, Jeremy Kepner, Alfredo Cuzzocrea, Jian Tang, Masashi Toyoda, editors, 2017 IEEE International Conference on Big Data, BigData 2017, Boston, MA, USA, December 11-14, 2017. pages 3422-3425, IEEE, 2017. [doi]

Authors

Ronald D. Hagan

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Charles A. Phillips

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Michael A. Langston

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Bradley J. Rhodes

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