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Tripoles: A New Class of Relationships in Time Series Data.

, , , , , , и . KDD, стр. 697-706. ACM, (2017)

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Stefan Ließ

Felix Ließ

Mathias Liess

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Johannes Liess

 

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Understanding Dominant Factors for Precipitation over the Great Lakes Region., , , и . AAAI, стр. 3821-3827. AAAI Press, (2016)Earth Science Applications of Sensor Data., , , , , , , , , и 3 other автор(ы). Managing and Mining Sensor Data, Springer, (2013)Tripoles: A New Class of Relationships in Time Series Data., , , , , , и . KDD, стр. 697-706. ACM, (2017)Drought Detection of the Last Century: An MRF-based Approach., , , и . SDM, стр. 24-34. SIAM / Omnipress, (2012)A Novel and Scalable Spatio-Temporal Technique for Ocean Eddy Monitoring., , , , , , и . AAAI, стр. 281-287. AAAI Press, (2012)Mining time-lagged relationships in spatio-temporal climate data., , , , и . CIDU, стр. 130-135. IEEE, (2012)Discovering interesting sub-paths in spatiotemporal datasets: a summary of results., , , , и . GIS, стр. 44-53. ACM, (2011)Mining Sub-Interval Relationships In Time Series Data., , , , , , , и . CoRR, (2018)Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks., , , , , , , и . CoRR, (2018)Testing the significance of spatio-temporal teleconnection patterns., , , , , и . KDD, стр. 642-650. ACM, (2012)