{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,3]],"date-time":"2026-01-03T06:51:00Z","timestamp":1767423060415,"version":"3.28.0"},"reference-count":17,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,12]]},"DOI":"10.1109\/bigdata.2016.7840774","type":"proceedings-article","created":{"date-parts":[[2017,2,7]],"date-time":"2017-02-07T21:46:59Z","timestamp":1486504019000},"page":"1627-1632","source":"Crossref","is-referenced-by-count":27,"title":["A distributed approach to estimating sea port operational regions from lots of AIS data"],"prefix":"10.1109","author":[{"given":"Leonardo M.","family":"Millefiori","sequence":"first","affiliation":[]},{"given":"Dimitrios","family":"Zissis","sequence":"additional","affiliation":[]},{"given":"Luca","family":"Cazzanti","sequence":"additional","affiliation":[]},{"given":"Gianfranco","family":"Arcieri","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.2307\/2685209"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177728190"},{"key":"ref12","doi-asserted-by":"crossref","DOI":"10.1002\/9781118575574","author":"scott","year":"2015","journal-title":"Multivariate Density Estimation Theory Practice and Visualization"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-3324-9"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.2307\/2347084"},{"key":"ref15","article-title":"Super-samples from kernel herding","author":"chen","year":"2012","journal-title":"arXiv preprint arXiv 1203 3472"},{"key":"ref16","article-title":"Geometric inference on kernel density estimates","volume":"abs 1307 7760","author":"phillips","year":"2013","journal-title":"CoRR"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/2463676.2465319"},{"key":"ref4","first-page":"1","article-title":"Statistical analysis of motion patterns in AIS Data: Anomaly detection and motion prediction","author":"ristic","year":"2008","journal-title":"2008 11th International Conference on Information Fusion FUSION"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/e15062218"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11356-014-2849-0"},{"article-title":"The Modelling Support to Maritime Terminals Sea Operation: The Case Study of Port of Messina","year":"2014","author":"ricci","key":"ref5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CANDAR.2013.39"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2014.7004464"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-27340-2_5"},{"key":"ref1","first-page":"508","article-title":"Ports in multi-level maritime networks: evidence from the Atlantic (19962006)","volume":"18","author":"ducruet","year":"2010","journal-title":"Transportation J"},{"journal-title":"National Geospatial-Intelligence Agency (NGA) Springfield Virginia Tech Rep","article-title":"World Port Index (Pub 150)","year":"2016","key":"ref9"}],"event":{"name":"2016 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2016,12,5]]},"location":"Washington DC,USA","end":{"date-parts":[[2016,12,8]]}},"container-title":["2016 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7818133\/7840573\/07840774.pdf?arnumber=7840774","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,18]],"date-time":"2019-09-18T11:17:47Z","timestamp":1568805467000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7840774\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/bigdata.2016.7840774","relation":{},"subject":[],"published":{"date-parts":[[2016,12]]}}}