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Data Mining Techniques in Sensor Networks - Summarization, Interpolation and Surveillance.

, , , and . Springer Briefs in Computer Science Springer, (2014)

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Using trend clusters for spatiotemporal interpolation of missing data in a sensor network., , , and . J. Spatial Inf. Sci., 6 (1): 119-153 (2013)Approximate Frequent Itemset Discovery from Data Stream., , , and . AI*IA, volume 5883 of Lecture Notes in Computer Science, page 151-160. Springer, (2009)Space-Time Roll-up and Drill-down into Geo-Trend Stream Cubes., , , and . ISMIS, volume 6804 of Lecture Notes in Computer Science, page 365-375. Springer, (2011)Clustering Spatio-Temporal Data Streams., , , , and . SEBD, page 230-241. Esculapio Editore, (2010)Continuously Mining Sliding Window Trend Clusters in a Sensor Network., , and . DEXA (2), volume 7447 of Lecture Notes in Computer Science, page 248-255. Springer, (2012)Online and Offline Trend Cluster Discovery in Spatially Distributed Data Streams., , and . MSM/MUSE, volume 6904 of Lecture Notes in Computer Science, page 142-161. Springer, (2010)Dealing with temporal and spatial correlations to classify outliers in geophysical data streams., , , and . Inf. Sci., (2014)Summarizing numeric spatial data streams by trend cluster discovery., , and . Data Min. Knowl. Discov., 29 (1): 84-136 (2015)Geographic Knowledge Discovery in INGENS: An Inductive Database Perspective., , , , , and . ICDM Workshops, page 326-331. IEEE Computer Society, (2008)Trend cluster based interpolation everywhere in a sensor network., , , , and . SAC, page 827-828. ACM, (2012)