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Dealing with temporal and spatial correlations to classify outliers in geophysical data streams.

, , , and . Inf. Sci., (2014)

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Trend cluster based interpolation everywhere in a sensor network., , , , and . SAC, page 827-828. ACM, (2012)A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams., , , and . Discovery Science, volume 5808 of Lecture Notes in Computer Science, page 385-392. Springer, (2009)Data Mining Techniques in Sensor Networks - Summarization, Interpolation and Surveillance., , , and . Springer Briefs in Computer Science Springer, (2014)Integrating Trend Clusters for Spatio-temporal Interpolation of Missing Sensor Data., , , and . W2GIS, volume 7236 of Lecture Notes in Computer Science, page 203-220. Springer, (2012)Trend Cluster Based Kriging Interpolation in Sensor Data Networks., , , and . MSM/MUSE, volume 7472 of Lecture Notes in Computer Science, page 118-137. Springer, (2011)An Algorithm for Web Service Discovery through Their Composition., , and . ICWS, page 332-. IEEE Computer Society, (2004)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)Summarization for Geographically Distributed Data Streams., , and . KES (3), volume 6278 of Lecture Notes in Computer Science, page 339-348. Springer, (2010)Dealing with temporal and spatial correlations to classify outliers in geophysical data streams., , , and . Inf. Sci., (2014)