{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T13:17:40Z","timestamp":1773926260908,"version":"3.50.1"},"reference-count":12,"publisher":"Association for Computing Machinery (ACM)","issue":"1","license":[{"start":{"date-parts":[[2015,5,20]],"date-time":"2015-05-20T00:00:00Z","timestamp":1432080000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["SIGSPATIAL Special"],"published-print":{"date-parts":[[2015,5,20]]},"abstract":"<jats:p>Annually organized VAST Challenges provide a unique opportunity to analyze complex data with available ground truth. In 2014, one of the tasks was to interpret routine and anomalous patterns of human mobility based on big data: trajectories of cars and credit card transactions.<\/jats:p>\n          <jats:p>\n            We describe a scalable visual analytics approach to solving this problem. Repeatedly visited personal and public places were extracted from trajectories by finding spatial clusters of stop points. Temporal patterns of people's presence in the places resulted from spatio-temporal aggregation of the data by the places and hourly intervals within the weekly cycle. Based on these patterns, we identified the meanings or purposes of the places: home, work, breakfast, lunch and dinner, etc. Meanings of some places could be refined using the credit card transaction data. By representing the place meanings as points on a 2D plane, we built an abstract semantic space and transformed the original trajectories to trajectories in the semantic space, i.e., performed\n            <jats:bold>semantic abstraction<\/jats:bold>\n            of the data. Spatio-temporal aggregation of the transformed trajectories into flows between the semantic places and subsequent clustering of time intervals by the similarity of the flow situations allowed us to reveal and analyze the routine movement behaviors. To detect anomalies, we (a) investigated the visits to the places with unknown meanings, and (b) looked for unusual presence times or visit durations at different semantic places.\n          <\/jats:p>\n          <jats:p>The analysis is scalable since all tools and methods can be applied to much larger data. Moreover, the semantic data abstraction can serve as a tool for protecting the personal privacy.<\/jats:p>","DOI":"10.1145\/2782759.2782765","type":"journal-article","created":{"date-parts":[[2015,5,26]],"date-time":"2015-05-26T14:36:05Z","timestamp":1432650965000},"page":"27-34","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Constructing semantic interpretation of routine and anomalous mobility behaviors from big data"],"prefix":"10.1145","volume":"7","author":[{"given":"Georg","family":"Fuchs","sequence":"first","affiliation":[{"name":"Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, St. Augustin, Germany and Friedrich-Wilhelms University, Bonn, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hendrik","family":"Stange","sequence":"additional","affiliation":[{"name":"Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, St. Augustin, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dirk","family":"Hecker","sequence":"additional","affiliation":[{"name":"Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, St. Augustin, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Natalia","family":"Andrienko","sequence":"additional","affiliation":[{"name":"Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, St. Augustin, Germany; City University London, London, UK and Friedrich-Wilhelms University, Bonn, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gennady","family":"Andrienko","sequence":"additional","affiliation":[{"name":"Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, St. Augustin, Germany; City University London, London, UK and Friedrich-Wilhelms University, Bonn, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2015,5,20]]},"reference":[{"key":"e_1_2_1_1_1","series-title":"Lecture Notes in Geoinformation and Cartography","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1007\/978-3-642-24198-7_16","volume-title":"Advances in Location-Based Services","author":"Andrienko G.","year":"2012","unstructured":"G. Andrienko and N. Andrienko . Privacy Issues in Geospatial Visual Analytics . In G. Gartner and F. Ortag, editors, Advances in Location-Based Services , Lecture Notes in Geoinformation and Cartography , pages 239 -- 246 . Springer Berlin Heidelberg , 2012 . G. Andrienko and N. Andrienko. Privacy Issues in Geospatial Visual Analytics. In G. Gartner and F. Ortag, editors, Advances in Location-Based Services, Lecture Notes in Geoinformation and Cartography, pages 239--246. Springer Berlin Heidelberg, 2012."},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.5555\/2541758"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1080\/13658816.2010.508043"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvlc.2011.04.001"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2010.44"},{"key":"e_1_2_1_6_1","volume-title":"VAST Challenge @ IEEE VAST","author":"Andrienko N.","year":"2014","unstructured":"N. Andrienko , G. Andrienko , and G. Fuchs . Analysis of Mobility Behaviors in Geographic and Semantic Spaces . In VAST Challenge @ IEEE VAST 2014 , 2014. Award for Outstanding Scalable Analysis . N. Andrienko, G. Andrienko, and G. Fuchs. Analysis of Mobility Behaviors in Geographic and Semantic Spaces. In VAST Challenge @ IEEE VAST 2014, 2014. Award for Outstanding Scalable Analysis."},{"key":"e_1_2_1_7_1","volume-title":"July","author":"Andrienko N.","year":"2015","unstructured":"N. Andrienko , G. Andrienko , G. Fuchs , and P. Jankowski . Scalable and Privacy-respectful Interactive Discovery of Place Semantics from Human Mobility Traces. Information Visualization, ??(?):??? , July 2015 . DOI: http:\/\/dx.doi.org\/10.1177\/1473871615581216. 10.1177\/1473871615581216 N. Andrienko, G. Andrienko, G. Fuchs, and P. Jankowski. Scalable and Privacy-respectful Interactive Discovery of Place Semantics from Human Mobility Traces. Information Visualization, ??(?):???, July 2015. DOI: http:\/\/dx.doi.org\/10.1177\/1473871615581216."},{"key":"e_1_2_1_8_1","volume-title":"IEEE VAST Challenge 2014 -- The Kronos Incident","author":"Cook K.","unstructured":"K. Cook , G. Grinstein , and M. Whiting . IEEE VAST Challenge 2014 -- The Kronos Incident . http:\/\/vacommunity.org\/VAST+Challenge+2014, November 2014. Last accessed 2015-03-29. K. Cook, G. Grinstein, and M. Whiting. IEEE VAST Challenge 2014 -- The Kronos Incident. http:\/\/vacommunity.org\/VAST+Challenge+2014, November 2014. Last accessed 2015-03-29."},{"key":"e_1_2_1_9_1","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-540-75177-9","volume-title":"Mobility, data mining and privacy: Geographic knowledge discovery","author":"Giannotti F.","year":"2008","unstructured":"F. Giannotti and D. Pedreschi . Mobility, data mining and privacy: Geographic knowledge discovery . Springer Science & Business Media , 2008 . F. Giannotti and D. Pedreschi. Mobility, data mining and privacy: Geographic knowledge discovery. Springer Science & Business Media, 2008."},{"key":"e_1_2_1_10_1","volume-title":"October","author":"McAfee A.","year":"2012","unstructured":"A. McAfee and E. Brynjolfsson . Big data: the management revolution. Harvard business review, 90:60--68 , October 2012 . A. McAfee and E. Brynjolfsson. Big data: the management revolution. Harvard business review, 90:60--68, October 2012."},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/2501654.2501656"},{"key":"e_1_2_1_12_1","volume-title":"Illuminating the path:{the research and development agenda for visual analytics}","author":"Thomas J. J.","year":"2005","unstructured":"J. J. Thomas and K. A. Cook . Illuminating the path:{the research and development agenda for visual analytics} . IEEE Computer Society , 2005 . J. J. Thomas and K. A. Cook. Illuminating the path:{the research and development agenda for visual analytics}. IEEE Computer Society, 2005."}],"container-title":["SIGSPATIAL Special"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2782759.2782765","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2782759.2782765","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T05:48:16Z","timestamp":1750225696000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2782759.2782765"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,5,20]]},"references-count":12,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2015,5,20]]}},"alternative-id":["10.1145\/2782759.2782765"],"URL":"https:\/\/doi.org\/10.1145\/2782759.2782765","relation":{},"ISSN":["1946-7729"],"issn-type":[{"value":"1946-7729","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,5,20]]},"assertion":[{"value":"2015-05-20","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}