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Intell. Syst. Technol."],"published-print":{"date-parts":[[2020,10,31]]},"abstract":"<jats:p>Moving objects equipped with location-positioning devices continuously generate a large amount of spatio-temporal trajectory data. An interesting finding over a trajectory stream is a group of objects that are travelling together for a certain period of time. We observe that existing studies on mining co-moving objects do not consider an important correlation between co-moving objects, which is the reoccurrence of the co-moving pattern. In this study, we propose the problem of finding recurrent co-moving patterns from streaming trajectories, enabling us to discover recent co-moving patterns that are repeated within a given time period. Experimental results on real-life trajectory data verify the efficiency and effectiveness of our method.<\/jats:p>","DOI":"10.1145\/3400730","type":"journal-article","created":{"date-parts":[[2020,8,3]],"date-time":"2020-08-03T13:40:56Z","timestamp":1596462056000},"page":"1-24","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":15,"title":["Querying Recurrent Convoys over Trajectory Data"],"prefix":"10.1145","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7664-3139","authenticated-orcid":false,"given":"Munkh-Erdene","family":"Yadamjav","sequence":"first","affiliation":[{"name":"RMIT University, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2477-381X","authenticated-orcid":false,"given":"Zhifeng","family":"Bao","sequence":"additional","affiliation":[{"name":"RMIT University, Australia"}]},{"given":"Baihua","family":"Zheng","sequence":"additional","affiliation":[{"name":"Singapore Management University, Singapore"}]},{"given":"Farhana M.","family":"Choudhury","sequence":"additional","affiliation":[{"name":"The University of Melbourne, Australia"}]},{"given":"Hanan","family":"Samet","sequence":"additional","affiliation":[{"name":"University of Maryland, USA"}]}],"member":"320","published-online":{"date-parts":[[2020,8,3]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3196959.3196972"},{"key":"e_1_2_1_2_1","first-page":"1","article-title":"Mining swarm patterns in sliding windows over moving object data streams","volume":"60","author":"Bhushan Alka","year":"2017","unstructured":"Alka Bhushan , Umesh Bellur , Kuldeep Sharma , Srijay Deshpande , and Nandlal L. 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