{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T14:25:57Z","timestamp":1762007157755,"version":"build-2065373602"},"reference-count":0,"publisher":"SAGE Publications","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IDA"],"published-print":{"date-parts":[[2014,6,27]]},"DOI":"10.3233\/ida-140661","type":"journal-article","created":{"date-parts":[[2018,10,18]],"date-time":"2018-10-18T17:02:55Z","timestamp":1539882175000},"page":"637-651","source":"Crossref","is-referenced-by-count":2,"title":["Finding longest frequent trajectory of dynamic objects using association approaches"],"prefix":"10.1177","volume":"18","author":[{"given":"Arthur A.","family":"Shaw","sequence":"first","affiliation":[{"name":"Department of Computer Applications, National Institute of Technology, Thiruchirappalli, Tamil Nadu, India"}]},{"given":"N.P.","family":"Gopalan","sequence":"additional","affiliation":[{"name":"Department of Computer Applications, National Institute of Technology, Thiruchirappalli, Tamil Nadu, India"}]}],"member":"179","container-title":["Intelligent Data Analysis"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/IDA-140661","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,10]],"date-time":"2025-03-10T15:43:31Z","timestamp":1741621411000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/IDA-140661"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,6,27]]},"references-count":0,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.3233\/ida-140661","relation":{},"ISSN":["1571-4128","1088-467X"],"issn-type":[{"type":"electronic","value":"1571-4128"},{"type":"print","value":"1088-467X"}],"subject":[],"published":{"date-parts":[[2014,6,27]]}}}