{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T07:07:34Z","timestamp":1765436854299,"version":"3.41.0"},"reference-count":137,"publisher":"Association for Computing Machinery (ACM)","issue":"3","license":[{"start":{"date-parts":[[2018,5,23]],"date-time":"2018-05-23T00:00:00Z","timestamp":1527033600000},"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":["ACM Comput. Surv."],"published-print":{"date-parts":[[2019,5,31]]},"abstract":"<jats:p>Positional data from small and mobile Global Positioning Systems has become ubiquitous and allows for many new applications such as road traffic or vessel monitoring as well as location-based services. To make these applications possible, for which information on location is more important than ever, streaming spatial data needs to be managed, mined, and used intelligently. This article provides an overview of previous work in this evolving research field and discusses different applications as well as common problems and solutions. The conclusion indicates promising directions for future research.<\/jats:p>","DOI":"10.1145\/3177848","type":"journal-article","created":{"date-parts":[[2018,5,23]],"date-time":"2018-05-23T15:08:42Z","timestamp":1527088122000},"page":"1-37","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["GeoStreams"],"prefix":"10.1145","volume":"51","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9286-8442","authenticated-orcid":false,"given":"Tobias","family":"Brandt","sequence":"first","affiliation":[{"name":"University of Oldenburg"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marco","family":"Grawunder","sequence":"additional","affiliation":[{"name":"University of Oldenburg"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2018,5,23]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2676552.2676554"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10707-016-0258-x"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/1878500.1878509"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0022-0000(02)00035-1"},{"key":"e_1_2_1_5_1","volume-title":"Proceedings of the 29th International Conference on Very Large Data Bases","volume":"29","author":"Aggarwal Charu C.","unstructured":"Charu C. Aggarwal , Jiawei Han , Jianyong Wang , and Philip S. Yu . 2003. A framework for clustering evolving data streams . In Proceedings of the 29th International Conference on Very Large Data Bases , Volume 29 (VLDB\u201903). 81--92. http:\/\/dl.acm.org\/citation.cfm?id=1315451.1315460 Charu C. Aggarwal, Jiawei Han, Jianyong Wang, and Philip S. Yu. 2003. A framework for clustering evolving data streams. In Proceedings of the 29th International Conference on Very Large Data Bases, Volume 29 (VLDB\u201903). 81--92. http:\/\/dl.acm.org\/citation.cfm?id=1315451.1315460"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/1869790.1869888"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/MTITS.2017.8005605"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/2442968.2442977"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/2071880.2071883"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2064959.2064963"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10707-014-0220-8"},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/2442968.2442983"},{"key":"e_1_2_1_13_1","volume-title":"Proceedings of the 8th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA\u201997)","author":"Basch Julien","year":"1997","unstructured":"Julien Basch , Leonidas J. Guibas , and John Hershberger . 1997 . Data structures for mobile data . In Proceedings of the 8th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA\u201997) . 747--756. http:\/\/dl.acm.org\/citation.cfm?id&equals;314161.314435 Julien Basch, Leonidas J. Guibas, and John Hershberger. 1997. Data structures for mobile data. In Proceedings of the 8th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA\u201997). 747--756. http:\/\/dl.acm.org\/citation.cfm?id&equals;314161.314435"},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIF.2006.301661"},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1015231126594"},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2676552.2676556"},{"key":"e_1_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/1557019.1557043"},{"key":"e_1_2_1_18_1","first-page":"449","article-title":"Dynamic clustering via asymptotics of the dependent Dirichlet process mixture","volume":"26","author":"Campbell Trevor","year":"2013","unstructured":"Trevor Campbell , Miao Liu , Brian Kulis , Jonathan P. How , and Lawrence Carin . 2013 . Dynamic clustering via asymptotics of the dependent Dirichlet process mixture . Advances in Neural Information Processing Systems 26 , 449 -- 457 . Trevor Campbell, Miao Liu, Brian Kulis, Jonathan P. How, and Lawrence Carin. 2013. Dynamic clustering via asymptotics of the dependent Dirichlet process mixture. Advances in Neural Information Processing Systems 26, 449--457.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972764.29"},{"key":"e_1_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/1541880.1541882"},{"key":"e_1_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/872757.872857"},{"key":"e_1_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2013.2238531"},{"key":"e_1_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9671.2006.00256.x"},{"key":"e_1_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-73540-3_15"},{"key":"e_1_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2010.5447829"},{"key":"e_1_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/MDM.2006.133"},{"key":"e_1_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/2452376.2452393"},{"key":"e_1_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/1993042.1993045"},{"key":"e_1_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/MDM.2010.52"},{"key":"e_1_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICOSC.2015.7050822"},{"key":"e_1_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/2534303.2534306"},{"key":"e_1_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2008.21"},{"key":"e_1_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/2766498.2766517"},{"key":"e_1_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/2534303.2534309"},{"key":"e_1_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4939-6575-5_2"},{"key":"e_1_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4939-6575-5_4"},{"key":"e_1_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4939-6575-5_3"},{"key":"e_1_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/2442968.2442982"},{"key":"e_1_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10707-016-0264-z"},{"key":"e_1_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.datak.2014.02.002"},{"key":"e_1_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/2181196.2181199"},{"key":"e_1_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2011.2160628"},{"volume-title":"Data Stream Management\u2014Processing High-Speed Data Streams","author":"Garofalakis Minos","key":"e_1_2_1_43_1","unstructured":"Minos Garofalakis , Johannes Gehrke , and Rajeev Rastogi . 2016. Data Stream Management\u2014Processing High-Speed Data Streams . Springer , Berlin, Germany . Minos Garofalakis, Johannes Gehrke, and Rajeev Rastogi. 2016. Data Stream Management\u2014Processing High-Speed Data Streams. Springer, Berlin, Germany."},{"key":"e_1_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/1871437.1871716"},{"key":"e_1_2_1_45_1","volume-title":"Dagstuhl Follow-Ups","volume":"5","author":"Geisler Sandra","year":"2013","unstructured":"Sandra Geisler . 2013 . Data stream management systems. In Data Exchange, Integration, and Streams, P. G. Kolaitis, M. Lenzerini, and N. Schweikardt (Eds.) . Dagstuhl Follow-Ups , Vol. 5 . Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, Dagstuhl, Germany, 275--304. Sandra Geisler. 2013. Data stream management systems. In Data Exchange, Integration, and Streams, P. G. Kolaitis, M. Lenzerini, and N. Schweikardt (Eds.). Dagstuhl Follow-Ups, Vol. 5. Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, Dagstuhl, Germany, 275--304."},{"key":"e_1_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/1878500.1878505"},{"key":"e_1_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/2676552.2676560"},{"key":"e_1_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.2514\/6.2004-4788"},{"key":"e_1_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-35973-1_823"},{"key":"e_1_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/2694428.2694432"},{"key":"e_1_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2015.7113389"},{"key":"e_1_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2005.129"},{"volume-title":"Moving Objects Databases","author":"G\u00fcting Ralf Hartmut","key":"e_1_2_1_53_1","unstructured":"Ralf Hartmut G\u00fcting and Markus Schneider . 2005. Moving Objects Databases . Elsevier . Ralf Hartmut G\u00fcting and Markus Schneider. 2005. Moving Objects Databases. Elsevier."},{"volume-title":"Proceedings of the 31st International Conference on Very Large Data Bases. 877--888","author":"Hadjieleftheriou Marios","key":"e_1_2_1_54_1","unstructured":"Marios Hadjieleftheriou , George Kollios , Petko Bakalov , and Vassilis J. Tsotras . 2005. Complex spatio-temporal pattern queries . In Proceedings of the 31st International Conference on Very Large Data Bases. 877--888 . Marios Hadjieleftheriou, George Kollios, Petko Bakalov, and Vassilis J. Tsotras. 2005. Complex spatio-temporal pattern queries. In Proceedings of the 31st International Conference on Very Large Data Bases. 877--888."},{"key":"e_1_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/2933267.2933293"},{"key":"e_1_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1145\/1869790.1869825"},{"key":"e_1_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-87473-7_7"},{"key":"e_1_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1145\/2534303.2534310"},{"key":"e_1_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1145\/1670679.1670682"},{"key":"e_1_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2007.1054"},{"key":"e_1_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.5555\/1316689.1316756"},{"key":"e_1_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISSNIP.2007.4496876"},{"key":"e_1_2_1_63_1","doi-asserted-by":"publisher","DOI":"10.1145\/1878500.1878507"},{"key":"e_1_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.14778\/1920841.1921032"},{"key":"e_1_2_1_65_1","unstructured":"J\u00fcrgen Kr\u00e4mer. 2007. Continuous Queries over Data Streams\u2014Semantics and Implementation. Philipps-Universit\u00e4t Marburg. http:\/\/archiv.ub.uni-marburg.de\/diss\/z2007\/0671\/pdf\/djk.pdf.  J\u00fcrgen Kr\u00e4mer. 2007. Continuous Queries over Data Streams\u2014Semantics and Implementation. Philipps-Universit\u00e4t Marburg. http:\/\/archiv.ub.uni-marburg.de\/diss\/z2007\/0671\/pdf\/djk.pdf."},{"key":"e_1_2_1_66_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-010-0342-8"},{"key":"e_1_2_1_67_1","doi-asserted-by":"publisher","DOI":"10.1007\/11853565_15"},{"key":"e_1_2_1_68_1","volume-title":"Proceedings of the 2008 11th International Conference on Information Fusion (FUSION\u201908)","author":"Laxhammar Rikard","year":"2008","unstructured":"Rikard Laxhammar . 2008 . Anomaly detection for sea surveillance . In Proceedings of the 2008 11th International Conference on Information Fusion (FUSION\u201908) , IEEE, Los Alamitos, CA, 1--8. Rikard Laxhammar. 2008. Anomaly detection for sea surveillance. In Proceedings of the 2008 11th International Conference on Information Fusion (FUSION\u201908), IEEE, Los Alamitos, CA, 1--8."},{"key":"e_1_2_1_69_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-12098-5_3"},{"key":"e_1_2_1_70_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-45738-3_12"},{"key":"e_1_2_1_71_1","doi-asserted-by":"publisher","DOI":"10.1145\/2442968.2442971"},{"key":"e_1_2_1_72_1","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020571"},{"volume-title":"Geographic Information Systems and Science","author":"Longley Paul","key":"e_1_2_1_73_1","unstructured":"Paul Longley . 2005. Geographic Information Systems and Science . John Wiley 8 Sons. Paul Longley. 2005. Geographic Information Systems and Science. John Wiley 8 Sons."},{"key":"e_1_2_1_74_1","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2015.7364101"},{"key":"e_1_2_1_75_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2013.03.012"},{"key":"e_1_2_1_76_1","doi-asserted-by":"publisher","DOI":"10.1145\/2442968.2442970"},{"key":"e_1_2_1_77_1","doi-asserted-by":"publisher","DOI":"10.1145\/2676552.2676555"},{"key":"e_1_2_1_78_1","doi-asserted-by":"publisher","DOI":"10.1145\/1869790.1869856"},{"key":"e_1_2_1_79_1","doi-asserted-by":"publisher","DOI":"10.1145\/2534303.2534307"},{"key":"e_1_2_1_80_1","unstructured":"Microsoft. 2012. GeoLife GPS Trajectories. Retrieved from https:\/\/www.microsoft.com\/en-us\/download\/details.aspx?id=52367  Microsoft. 2012. GeoLife GPS Trajectories. Retrieved from https:\/\/www.microsoft.com\/en-us\/download\/details.aspx?id=52367"},{"key":"e_1_2_1_81_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-007-0046-1"},{"key":"e_1_2_1_82_1","first-page":"40","article-title":"Spatio-temporal access methods","volume":"26","author":"Mokbel Mohamed F.","year":"2003","unstructured":"Mohamed F. Mokbel , Thanaa M. Ghanem , and Walid G. Aref . 2003 . Spatio-temporal access methods . IEEE Data Eng. Bull. 26 , 2 (2003), 40 -- 49 . Mohamed F. Mokbel, Thanaa M. Ghanem, and Walid G. Aref. 2003. Spatio-temporal access methods. IEEE Data Eng. Bull. 26, 2 (2003), 40--49.","journal-title":"IEEE Data Eng. Bull."},{"key":"e_1_2_1_83_1","doi-asserted-by":"publisher","DOI":"10.5555\/1116877.1116901"},{"key":"e_1_2_1_84_1","first-page":"46","article-title":"Spatio-temporal access methods: Part 2 (2003--2010)","volume":"33","author":"Nguyen-Dinh Long-Van","year":"2010","unstructured":"Long-Van Nguyen-Dinh , Walid G. Aref , and Mohamed F. Mokbel . 2010 . Spatio-temporal access methods: Part 2 (2003--2010) . IEEE Data Eng. Bull. 33 , 2 (2010), 46 -- 55 . http:\/\/sites.computer.org\/debull\/A10june\/Aref.pdf. Long-Van Nguyen-Dinh, Walid G. Aref, and Mohamed F. Mokbel. 2010. Spatio-temporal access methods: Part 2 (2003--2010). IEEE Data Eng. Bull. 33, 2 (2010), 46--55. http:\/\/sites.computer.org\/debull\/A10june\/Aref.pdf.","journal-title":"IEEE Data Eng. Bull."},{"key":"e_1_2_1_85_1","doi-asserted-by":"publisher","DOI":"10.3390\/s90705664"},{"key":"e_1_2_1_86_1","doi-asserted-by":"publisher","DOI":"10.1145\/2424321.2424407"},{"key":"e_1_2_1_87_1","doi-asserted-by":"publisher","DOI":"10.1145\/2442968.2442976"},{"key":"e_1_2_1_88_1","unstructured":"Oracle. 2016. Oracle Fusion Middleware Using Oracle Stream Analytics 12c (12.2.1.0.0). Retrieved from https:\/\/docs.oracle.com\/middleware\/1221\/osa\/using-streamanalytics\/OEPSX.pdf.  Oracle. 2016. Oracle Fusion Middleware Using Oracle Stream Analytics 12c (12.2.1.0.0). Retrieved from https:\/\/docs.oracle.com\/middleware\/1221\/osa\/using-streamanalytics\/OEPSX.pdf."},{"key":"e_1_2_1_89_1","doi-asserted-by":"publisher","DOI":"10.1145\/2064959.2064965"},{"key":"e_1_2_1_90_1","volume-title":"Proceedings of the 2014 17th International Conference on Information Fusion (FUSION\u201914)","author":"Pallotta Giuliana","year":"2014","unstructured":"Giuliana Pallotta , Steven Horn , Paolo Braca , and Karna Bryan . 2014 . Context-enhanced vessel prediction based on Ornstein-Uhlenbeck processes using historical AIS traffic patterns: Real-world experimental results . In Proceedings of the 2014 17th International Conference on Information Fusion (FUSION\u201914) . IEEE, Los Alamitos, CA, 1--7. Giuliana Pallotta, Steven Horn, Paolo Braca, and Karna Bryan. 2014. Context-enhanced vessel prediction based on Ornstein-Uhlenbeck processes using historical AIS traffic patterns: Real-world experimental results. In Proceedings of the 2014 17th International Conference on Information Fusion (FUSION\u201914). IEEE, Los Alamitos, CA, 1--7."},{"key":"e_1_2_1_91_1","volume-title":"Proceedings of the 2013 16th International Conference on Information Fusion (FUSION\u201913)","author":"Pallotta Giuliana","year":"2013","unstructured":"Giuliana Pallotta , Michele Vespe , and Karna Bryan . 2013 a. Traffic knowledge discovery from ais data . In Proceedings of the 2013 16th International Conference on Information Fusion (FUSION\u201913) . IEEE, Los Alamitos, CA , 1996--2003. Giuliana Pallotta, Michele Vespe, and Karna Bryan. 2013a. Traffic knowledge discovery from ais data. In Proceedings of the 2013 16th International Conference on Information Fusion (FUSION\u201913). IEEE, Los Alamitos, CA, 1996--2003."},{"key":"e_1_2_1_92_1","doi-asserted-by":"publisher","DOI":"10.3390\/e15062218"},{"key":"e_1_2_1_93_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10707-016-0266-x"},{"key":"e_1_2_1_94_1","doi-asserted-by":"publisher","DOI":"10.1145\/1463434.1463527"},{"volume-title":"Proceedings of the 2nd International Workshop on Spatio-Temporal Database Management (STDBM\u201904)","author":"Patroumpas Kostas","key":"e_1_2_1_95_1","unstructured":"Kostas Patroumpas and Timos K. Sellis . 2004. Managing trajectories of moving objects as data streams . In Proceedings of the 2nd International Workshop on Spatio-Temporal Database Management (STDBM\u201904) . 41--48. http:\/\/db.cs.ualberta.ca\/stdbm04\/Proceedings\/06.pdf. Kostas Patroumpas and Timos K. Sellis. 2004. Managing trajectories of moving objects as data streams. In Proceedings of the 2nd International Workshop on Spatio-Temporal Database Management (STDBM\u201904). 41--48. http:\/\/db.cs.ualberta.ca\/stdbm04\/Proceedings\/06.pdf."},{"key":"e_1_2_1_96_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-9446-2_3"},{"key":"e_1_2_1_97_1","doi-asserted-by":"publisher","DOI":"10.1145\/2463676.2465301"},{"key":"e_1_2_1_98_1","doi-asserted-by":"publisher","DOI":"10.1109\/SSDBM.2006.45"},{"key":"e_1_2_1_99_1","doi-asserted-by":"publisher","DOI":"10.1145\/2064959.2064967"},{"key":"e_1_2_1_100_1","doi-asserted-by":"publisher","DOI":"10.1145\/1878500.1878512"},{"key":"e_1_2_1_101_1","doi-asserted-by":"publisher","DOI":"10.1145\/2442968.2442984"},{"key":"e_1_2_1_102_1","doi-asserted-by":"publisher","DOI":"10.1145\/2442968.2442975"},{"key":"e_1_2_1_103_1","doi-asserted-by":"publisher","DOI":"10.1145\/2676552.2676558"},{"key":"e_1_2_1_104_1","doi-asserted-by":"publisher","DOI":"10.1145\/2534303.2534308"},{"key":"e_1_2_1_105_1","doi-asserted-by":"publisher","DOI":"10.1145\/2897166"},{"key":"e_1_2_1_106_1","doi-asserted-by":"publisher","DOI":"10.1145\/1878500.1878508"},{"key":"e_1_2_1_107_1","doi-asserted-by":"publisher","DOI":"10.1145\/2064959.2064968"},{"key":"e_1_2_1_108_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-008-0120-3"},{"key":"e_1_2_1_109_1","doi-asserted-by":"publisher","DOI":"10.14778\/2732939.2732940"},{"key":"e_1_2_1_110_1","doi-asserted-by":"publisher","DOI":"10.1145\/2542182.2542185"},{"key":"e_1_2_1_111_1","doi-asserted-by":"publisher","DOI":"10.4236\/jtts.2012.21003"},{"key":"e_1_2_1_112_1","doi-asserted-by":"publisher","DOI":"10.1109\/PacificVis.2012.6183572"},{"key":"e_1_2_1_113_1","doi-asserted-by":"publisher","DOI":"10.1109\/VTCSpring.2014.7023085"},{"key":"e_1_2_1_114_1","doi-asserted-by":"publisher","DOI":"10.1049\/cp.2012.0414"},{"key":"e_1_2_1_115_1","doi-asserted-by":"publisher","DOI":"10.1145\/1653771.1653812"},{"key":"e_1_2_1_116_1","doi-asserted-by":"publisher","DOI":"10.1145\/2676552.2676562"},{"key":"e_1_2_1_117_1","doi-asserted-by":"publisher","DOI":"10.1145\/2661829.2661878"},{"key":"e_1_2_1_118_1","doi-asserted-by":"publisher","DOI":"10.1145\/1869790.1869849"},{"key":"e_1_2_1_119_1","doi-asserted-by":"publisher","DOI":"10.1145\/1645424.1645426"},{"key":"e_1_2_1_120_1","doi-asserted-by":"publisher","DOI":"10.1145\/2676552.2676563"},{"key":"e_1_2_1_121_1","doi-asserted-by":"publisher","DOI":"10.1145\/2676552.2676553"},{"key":"e_1_2_1_122_1","doi-asserted-by":"publisher","DOI":"10.1145\/2534303.2534305"},{"key":"e_1_2_1_123_1","doi-asserted-by":"publisher","DOI":"10.1109\/SSDM.1998.688116"},{"key":"e_1_2_1_124_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.89"},{"key":"e_1_2_1_125_1","doi-asserted-by":"publisher","DOI":"10.14778\/2536360.2536375"},{"key":"e_1_2_1_126_1","doi-asserted-by":"publisher","DOI":"10.14778\/2735471.2735475"},{"key":"e_1_2_1_127_1","doi-asserted-by":"publisher","DOI":"10.1145\/2534303.2534313"},{"key":"e_1_2_1_128_1","doi-asserted-by":"publisher","DOI":"10.1145\/2676552.2676557"},{"key":"e_1_2_1_129_1","doi-asserted-by":"publisher","DOI":"10.2298\/CSIS120723049Y"},{"key":"e_1_2_1_130_1","doi-asserted-by":"publisher","DOI":"10.1145\/1878500.1878510"},{"key":"e_1_2_1_131_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2013.2264753"},{"key":"e_1_2_1_132_1","doi-asserted-by":"publisher","DOI":"10.1145\/235968.233324"},{"key":"e_1_2_1_133_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2012.02.002"},{"key":"e_1_2_1_134_1","doi-asserted-by":"publisher","DOI":"10.1145\/2743025"},{"key":"e_1_2_1_135_1","doi-asserted-by":"publisher","DOI":"10.1145\/1409635.1409677"},{"key":"e_1_2_1_136_1","doi-asserted-by":"publisher","DOI":"10.1145\/1526709.1526816"},{"key":"e_1_2_1_137_1","doi-asserted-by":"publisher","DOI":"10.1109\/CCBD.2015.65"}],"container-title":["ACM Computing Surveys"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3177848","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3177848","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T03:02:54Z","timestamp":1750215774000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3177848"}},"subtitle":["A Survey"],"short-title":[],"issued":{"date-parts":[[2018,5,23]]},"references-count":137,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2019,5,31]]}},"alternative-id":["10.1145\/3177848"],"URL":"https:\/\/doi.org\/10.1145\/3177848","relation":{},"ISSN":["0360-0300","1557-7341"],"issn-type":[{"type":"print","value":"0360-0300"},{"type":"electronic","value":"1557-7341"}],"subject":[],"published":{"date-parts":[[2018,5,23]]},"assertion":[{"value":"2016-12-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2018-01-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2018-05-23","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}