{"id":13260,"date":"2021-12-08T20:17:47","date_gmt":"2021-12-09T01:17:47","guid":{"rendered":"https:\/\/carleton.ca\/scs\/?page_id=13260"},"modified":"2021-12-08T20:17:47","modified_gmt":"2021-12-09T01:17:47","slug":"tr-08-11-olap-for-trajectories","status":"publish","type":"page","link":"https:\/\/carleton.ca\/scs\/research\/scs-technical-reports\/technical-reports-2008\/tr-08-11-olap-for-trajectories\/","title":{"rendered":"TR-08-11: OLAP for Trajectories"},"content":{"rendered":"<p>Carleton University<br \/>\n<a href=\"https:\/\/carleton.ca\/scs\/research\/scs-technical-reports\/technical-reports-2008\/\">Technical Report<\/a> TR-08-11<br \/>\nMay 29, 2008<\/p>\n<h2>OLAP for Trajectories<\/h2>\n<div class=\"tr_t3\">\n<div class=\"tr_t3\">\n<div class=\"tr_t3\">\n<div class=\"tr_t3\">\n<div class=\"tr_t3\">\n<div class=\"tr_t3\">\n<div class=\"tr_t3\">\n<div class=\"tr_t3\">\n<p class=\"tr_t3\">O. Baltzer, F. Dehne, S. Hambrusch, A. Rau-Chaplin<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div>\n<h3>Abstract<\/h3>\n<p>In this paper, we present an OLAP framework for trajectories of moving objects. We introduce a new operator GROUP_TRAJECTORIES for group-by operations on trajectories and present three implementation alternatives for computing groups of trajectories for group-by aggregation: group by overlap, group by intersection, and group by overlap and intersection. We also present an interactive OLAP environment for resolution drill-down\/roll-up on sets of trajectories and parameter browsing. Using generated and real life moving data sets, we evaluate the performance of our GROUP_TRAJECTORIES operator.<\/p>\n<p><a href=\"https:\/\/carleton.ca\/scs\/wp-content\/uploads\/TR-08-11-Dehne.pdf\">TR-08-11.pdf<\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Carleton University Technical Report TR-08-11 May 29, 2008 OLAP for Trajectories O. Baltzer, F. Dehne, S. Hambrusch, A. Rau-Chaplin Abstract In this paper, we present an OLAP framework for trajectories of moving objects. We introduce a new operator GROUP_TRAJECTORIES for group-by operations on trajectories and present three implementation alternatives for computing groups of trajectories for [&hellip;]<\/p>\n","protected":false},"author":49,"featured_media":0,"parent":12410,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"","_relevanssi_noindex_reason":"","_mi_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":"","_links_to":"","_links_to_target":""},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>TR-08-11: OLAP for Trajectories - School of Computer Science<\/title>\n<meta name=\"description\" content=\"Carleton University Technical Report TR-08-11 May 29, 2008 OLAP for Trajectories O. 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