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Scalable Analysis of Movement Data for Extracting and Exploring Significant Places.

, , , , and . IEEE Trans. Vis. Comput. Graph., 19 (7): 1078-1094 (2013)

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Exploiting Spatial Abstraction in Predictive Analytics of Vehicle Traffic., , and . ISPRS Int. J. Geo-Information, 4 (2): 591-606 (2015)NDlib: A Python Library to Model and Analyze Diffusion Processes over Complex Networks., , and . WWW (Companion Volume), page 183-186. ACM, (2018)Exploring Real Mobility Data with M-Atlas., , , , , , , and . ECML/PKDD (3), volume 6323 of Lecture Notes in Computer Science, page 624-627. Springer, (2010)NDlib: a python library to model and analyze diffusion processes over complex networks., , , , , and . Int. J. Data Sci. Anal., 5 (1): 61-79 (2018)Unveiling mobility complexity through complex network analysis., , , , and . Social Netw. Analys. Mining, 6 (1): 59:1-59:21 (2016)From movement tracks through events to places: Extracting and characterizing significant places from mobility data., , , , and . IEEE VAST, page 161-170. IEEE Computer Society, (2011)How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science., , , , , , , , , and 9 other author(s). A Comprehensive Guide Through the Italian Database Research, volume 31 of Studies in Big Data, Springer International Publishing, (2018)Spatio-temporal clustering., , , and . Data Mining and Knowledge Discovery Handbook, Springer, (2010)Understanding Large Events by Semantic Analysis of Twitter Data., , , and . SEBD, page 417-424. (2014)Data Science for Simulating the Era of Electric Vehicles., , , , and . KI, 26 (3): 275-278 (2012)