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A Guide to Earth Science Data: Summary and Research Challenges., and . Comput. Sci. Eng., 17 (6): 14-18 (2015)Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks., , , , , , , and . IEEE Trans. Knowl. Data Eng., 32 (9): 1798-1811 (2020)A Fast-Optimal Guaranteed Algorithm For Learning Sub-Interval Relationships in Time Series., , , , , and . CoRR, (2019)Understanding Dominant Factors for Precipitation over the Great Lakes Region., , , and . AAAI, page 3821-3827. AAAI Press, (2016)Drought Detection of the Last Century: An MRF-based Approach., , , and . SDM, page 24-34. SIAM / Omnipress, (2012)Tripoles: A New Class of Relationships in Time Series Data., , , , , , and . KDD, page 697-706. ACM, (2017)Earth Science Applications of Sensor Data., , , , , , , , , and 3 other author(s). Managing and Mining Sensor Data, Springer, (2013)Mining time-lagged relationships in spatio-temporal climate data., , , , and . CIDU, page 130-135. IEEE, (2012)A graph-based approach to find teleconnections in climate data., , , , , , , , and . Stat. Anal. Data Min., 6 (3): 158-179 (2013)A Novel and Scalable Spatio-Temporal Technique for Ocean Eddy Monitoring., , , , , , and . AAAI, page 281-287. AAAI Press, (2012)