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Semantic Integration and Knowledge Discovery for Environmental Research.

, , , , and . J. Database Manag., 18 (1): 43-68 (2007)

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A user-centered design for a spatial data warehouse for data exploration in environmental research., , , and . Ecological Informatics, 3 (4-5): 273-285 (2008)Classification of Eye Tracking Data Using a Convolutional Neural Network., , , and . ICMLA, page 530-535. IEEE, (2018)Spatiotemporal Neighborhood Discovery for Sensor Data., , and . KDD Workshop on Knowledge Discovery from Sensor Data, volume 5840 of Lecture Notes in Computer Science, page 203-225. Springer, (2008)Deep Learning Methods for the Prediction of Information Display Type Using Eye Tracking Sequences., , , , and . ICMLA, page 601-605. IEEE, (2021)Community structure analysis in big climate data., and . BigData, page 38-46. IEEE Computer Society, (2014)TNeT: Tensor-Based Neighborhood Discovery in Traffic Networks., , , and . ICDE Workshops, page 331-336. IEEE Computer Society, (2012)Channeling the water data deluge: a system for flexible integration and analysis of hydrologic data., , and . Int. J. Digital Earth, 9 (3): 272-299 (2016)SQL or NoSQL? Which Is the Best Choice for Storing Big Spatio-Temporal Climate Data?, , , and . ER Workshops, volume 11158 of Lecture Notes in Computer Science, page 275-284. Springer, (2018)Semantic Integration and Knowledge Discovery for Environmental Research., , , , and . J. Database Manag., 18 (1): 43-68 (2007)Mining Semantic Time Period Similarity in Spatio-Temporal Climate Data., and . ICDM Workshops, page 1020-1027. IEEE Computer Society, (2013)