{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T13:58:26Z","timestamp":1760709506326,"version":"3.41.0"},"reference-count":27,"publisher":"Association for Computing Machinery (ACM)","issue":"3","license":[{"start":{"date-parts":[[2018,1,23]],"date-time":"2018-01-23T00:00:00Z","timestamp":1516665600000},"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 Trans. Knowl. Discov. Data"],"published-print":{"date-parts":[[2018,6,30]]},"abstract":"<jats:p>\n            Geotagged data gathered from social media can be used to discover interesting locations visited by users called Places-of-Interest (PoIs). Since a PoI is generally identified by the geographical coordinates of a single point, it is hard to match it with user trajectories. Therefore, it is useful to define an area, called\n            <jats:italic>Region-of-Interest<\/jats:italic>\n            (\n            <jats:italic>RoI<\/jats:italic>\n            ), to represent the boundaries of the PoI\u2019s area.\n            <jats:italic>RoI mining<\/jats:italic>\n            techniques are aimed at discovering ROIs from PoIs and other data. Existing RoI mining techniques are based on three main approaches: predefined shapes, density-based clustering, and grid-based aggregation. This article proposes\n            <jats:italic>G-RoI<\/jats:italic>\n            , a novel RoI mining technique that exploits the indications contained in geotagged social media items to discover RoIs with a high accuracy. Experiments performed over a set of PoIs in Rome and Paris using social media geotagged data, demonstrate that G-RoI in most cases achieves better results than existing techniques. In particular, the mean\n            <jats:italic>F<\/jats:italic>\n            <jats:sub>1<\/jats:sub>\n            score is 0.34 higher than that obtained with the well-known DBSCAN algorithm in Rome RoIs and 0.23 higher in Paris RoIs.\n          <\/jats:p>","DOI":"10.1145\/3154411","type":"journal-article","created":{"date-parts":[[2018,1,23]],"date-time":"2018-01-23T14:53:36Z","timestamp":1516719216000},"page":"1-22","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":23,"title":["G-RoI"],"prefix":"10.1145","volume":"12","author":[{"given":"Loris","family":"Belcastro","sequence":"first","affiliation":[{"name":"University of Calabria, Rende(CS), Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7887-1314","authenticated-orcid":false,"given":"Fabrizio","family":"Marozzo","sequence":"additional","affiliation":[{"name":"University of Calabria, Rende(CS), Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Domenico","family":"Talia","sequence":"additional","affiliation":[{"name":"University of Calabria, Rende(CS), Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paolo","family":"Trunfio","sequence":"additional","affiliation":[{"name":"University of Calabria, Rende(CS), Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2018,1,23]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2016.2565480"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/235815.235821"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2014.05.034"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1080\/07468342.1986.11972974"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2013.10.057"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICSDM.2015.7298021"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/HPCSim.2016.7568340"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2015.44"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/34.400568"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/1526709.1526812"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/2525314.2525442"},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.5555\/3001460.3001507"},{"key":"e_1_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/2063212.2063226"},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2063212.2063226"},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/1281192.1281230"},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/0020-0190(72)90045-2"},{"key":"e_1_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1137\/1034115"},{"volume-title":"A novel approach to mining travel sequences using collections of geotagged photos","author":"Kisilevich Slava","key":"e_1_2_1_18_1","unstructured":"Slava Kisilevich , Daniel Keim , and Lior Rokach . 2010a. A novel approach to mining travel sequences using collections of geotagged photos . In Geospatial Thinking, Marco Painho, Maribel Yasmina Santos, and Hardy Pundt (Eds.). Springer Berlin Heidelberg , Berlin, Heidelberg , 163--182. Slava Kisilevich, Daniel Keim, and Lior Rokach. 2010a. A novel approach to mining travel sequences using collections of geotagged photos. In Geospatial Thinking, Marco Painho, Maribel Yasmina Santos, and Hardy Pundt (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 163--182."},{"key":"e_1_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/1823854.1823897"},{"key":"e_1_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/1871437.1871513"},{"key":"e_1_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/2588555.2610497"},{"key":"e_1_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.12.104"},{"key":"e_1_2_1_23_1","volume-title":"Nouvelles applications des param\u00e8tres continus \u00e0 la th\u00e9orie des formes quadratiques. Deuxi\u00e8me m\u00e9moire. Recherches sur les parall\u00e9llo\u00e8dres primitifs.Journal F\u00fcr Die Reine und Angewandte Mathematik 134","author":"Voronoi Georges","year":"1908","unstructured":"Georges Voronoi . 1908. Nouvelles applications des param\u00e8tres continus \u00e0 la th\u00e9orie des formes quadratiques. Deuxi\u00e8me m\u00e9moire. Recherches sur les parall\u00e9llo\u00e8dres primitifs.Journal F\u00fcr Die Reine und Angewandte Mathematik 134 ( 1908 ), 198--287. Georges Voronoi. 1908. Nouvelles applications des param\u00e8tres continus \u00e0 la th\u00e9orie des formes quadratiques. Deuxi\u00e8me m\u00e9moire. Recherches sur les parall\u00e9llo\u00e8dres primitifs.Journal F\u00fcr Die Reine und Angewandte Mathematik 134 (1908), 198--287."},{"key":"e_1_2_1_24_1","volume-title":"Huang","author":"Yin Zhijun","year":"2011","unstructured":"Zhijun Yin , Liangliang Cao , Jiawei Han , Jiebo Luo , and Thomas S . Huang . 2011 . Diversified trajectory pattern ranking in geotagged social media. In Proceedings of the 2011 SIAM International Conference on Data Mining (SDM\u201911). SIAM , 980--991. Zhijun Yin, Liangliang Cao, Jiawei Han, Jiebo Luo, and Thomas S. Huang. 2011. Diversified trajectory pattern ranking in geotagged social media. In Proceedings of the 2011 SIAM International Conference on Data Mining (SDM\u201911). SIAM, 980--991."},{"key":"e_1_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/SOLI.2014.6960700"},{"key":"e_1_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/2030112.2030128"},{"key":"e_1_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/2168752.2168770"}],"container-title":["ACM Transactions on Knowledge Discovery from Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3154411","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3154411","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:11:26Z","timestamp":1750212686000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3154411"}},"subtitle":["Automatic Region-of-Interest Detection Driven by Geotagged Social Media Data"],"short-title":[],"issued":{"date-parts":[[2018,1,23]]},"references-count":27,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2018,6,30]]}},"alternative-id":["10.1145\/3154411"],"URL":"https:\/\/doi.org\/10.1145\/3154411","relation":{},"ISSN":["1556-4681","1556-472X"],"issn-type":[{"type":"print","value":"1556-4681"},{"type":"electronic","value":"1556-472X"}],"subject":[],"published":{"date-parts":[[2018,1,23]]},"assertion":[{"value":"2016-07-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2017-10-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2018-01-23","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}