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Constructing semantic interpretation of routine and anomalous mobility behaviors from big data.

, , , , and . SIGSPATIAL Special, 7 (1): 27-34 (2015)

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Tracing the German centennial flood in the stream of tweets: first lessons learned., , , , and . GEOGROWD, page 31-38. ACM, (2013)Sample Bias due to Missing Data in Mobility Surveys., , , and . ICDM Workshops, page 241-248. IEEE Computer Society, (2010)Detecting and tracking dynamic clusters of spatial events., , , and . IEEE VAST, page 219-220. IEEE Computer Society, (2014)Insight-driven Crisis Information - Preparing for the Unexpected using Big Data., , , and . ISCRAM, ISCRAM Association, (2015)Heterogeneous stream processing for disaster detection and alarming., , , , , and . BigData, page 914-923. IEEE Computer Society, (2014)Spatial Data Mining in Practice: Principles and Case Studies., , , , , , , and . Data Mining for Business Applications, volume 218 of Frontiers in Artificial Intelligence and Applications, IOS Press, (2010)Modeling Micro-Movement Variability in Mobility Studies., , , , and . AGILE Conf., page 121-140. Springer, (2011)Analytical workflow of monitoring human mobility in big event settings using Bluetooth., , , , and . ISA, page 51-58. ACM, (2011)An Agent-Based Model to Evaluate Carpooling at Large Manufacturing Plants., , , , , , , , , and 4 other author(s). ANT/MobiWIS, volume 10 of Procedia Computer Science, page 1221-1227. Elsevier, (2012)Constructing semantic interpretation of routine and anomalous mobility behaviors from big data., , , , and . SIGSPATIAL Special, 7 (1): 27-34 (2015)