{"id":"https://openalex.org/W2072957930","doi":"https://doi.org/10.1109/icde.2013.6544829","title":"On discovery of gathering patterns from trajectories","display_name":"On discovery of gathering patterns from trajectories","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W2072957930","doi":"https://doi.org/10.1109/icde.2013.6544829","mag":"2072957930"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2013.6544829","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2013.6544829","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 29th International Conference on Data Engineering (ICDE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://vbn.aau.dk/files/71177214/ICDE13_conf_full_219_1_.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100603979","display_name":"Kai Zheng","orcid":"https://orcid.org/0000-0002-0217-3998"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]},{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Kai Zheng","raw_affiliation_strings":["School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia","Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, Brisbane, Qld., Australia"],"affiliations":[{"raw_affiliation_string":"School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia","institution_ids":["https://openalex.org/I160993911","https://openalex.org/I165143802"]},{"raw_affiliation_string":"Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, Brisbane, Qld., Australia","institution_ids":["https://openalex.org/I160993911","https://openalex.org/I165143802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100681020","display_name":"Yu Zheng","orcid":"https://orcid.org/0000-0002-1837-6730"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zheng","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Microsoft research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053345000","display_name":"Nicholas Jing Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"N. J. Yuan","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Microsoft research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102754146","display_name":"Shuo Shang","orcid":"https://orcid.org/0000-0002-1117-2890"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Shuo Shang","raw_affiliation_strings":["Department of Computer Science, Aalborg University, Denmark","Department of Computer Science, Aalborg  University, Aalborg, Denmark"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Aalborg University, Denmark","institution_ids":["https://openalex.org/I891191580"]},{"raw_affiliation_string":"Department of Computer Science, Aalborg  University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100603979"],"corresponding_institution_ids":["https://openalex.org/I160993911","https://openalex.org/I165143802"],"apc_list":null,"apc_paid":null,"fwci":24.4291,"has_fulltext":true,"cited_by_count":214,"citation_normalized_percentile":{"value":0.99729013,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"242","last_page":"253"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.9804999828338623,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.8360134363174438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8075572848320007},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.78208327293396},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6357851028442383},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6156808137893677},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6145591735839844},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6042782664299011},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5926016569137573},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.46828529238700867},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4541640877723694},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.39665094017982483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37999314069747925},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35905924439430237},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09452307224273682},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07354187965393066}],"concepts":[{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.8360134363174438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8075572848320007},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.78208327293396},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6357851028442383},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6156808137893677},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6145591735839844},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6042782664299011},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5926016569137573},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.46828529238700867},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4541640877723694},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39665094017982483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37999314069747925},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35905924439430237},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09452307224273682},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07354187965393066},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icde.2013.6544829","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2013.6544829","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 29th International Conference on Data Engineering (ICDE)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/a8937ccb-f5d3-4ef7-b6e4-2b20831fe228","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/a8937ccb-f5d3-4ef7-b6e4-2b20831fe228","pdf_url":"https://vbn.aau.dk/files/71177214/ICDE13_conf_full_219_1_.pdf","source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zheng , K , Zheng , Y , Yuan , J & Shang , S 2013 , On Discovery of Gathering Patterns from Trajectories . in Proceedings of the 29th IEEE International Conference on Data Engineering : ICDE . IEEE Computer Society Press , Proceedings of the International Conference on Data Engineering , pp. 242 - 253 , 29th IEEE International Conference on Data Engineering , Brisbane , Australia , 08/04/2013 . https://doi.org/10.1109/ICDE.2013.6544829","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.252.4337","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.252.4337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.microsoft.com/pubs/175446/gathering%20patterns-ICDE2013.pdf","raw_type":"text"},{"id":"pmh:oai:espace.library.uq.edu.au:UQ:317787","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402388","display_name":"Queensland's institutional digital repository (The University of Queensland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I165143802","host_organization_name":"The University of Queensland","host_organization_lineage":["https://openalex.org/I165143802"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:publications/a8937ccb-f5d3-4ef7-b6e4-2b20831fe228","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/a8937ccb-f5d3-4ef7-b6e4-2b20831fe228","pdf_url":"https://vbn.aau.dk/files/71177214/ICDE13_conf_full_219_1_.pdf","source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zheng , K , Zheng , Y , Yuan , J & Shang , S 2013 , On Discovery of Gathering Patterns from Trajectories . in Proceedings of the 29th IEEE International Conference on Data Engineering : ICDE . IEEE Computer Society Press , Proceedings of the International Conference on Data Engineering , pp. 242 - 253 , 29th IEEE International Conference on Data Engineering , Brisbane , Australia , 08/04/2013 . https://doi.org/10.1109/ICDE.2013.6544829","raw_type":"contributionToPeriodical"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2072957930.pdf"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W578585133","https://openalex.org/W1532522762","https://openalex.org/W1566114229","https://openalex.org/W1673310716","https://openalex.org/W1827315716","https://openalex.org/W1906243967","https://openalex.org/W1934562893","https://openalex.org/W1966958766","https://openalex.org/W1981398125","https://openalex.org/W1991190417","https://openalex.org/W2002151188","https://openalex.org/W2007159514","https://openalex.org/W2028113911","https://openalex.org/W2028618575","https://openalex.org/W2031674781","https://openalex.org/W2033626772","https://openalex.org/W2047216628","https://openalex.org/W2049626361","https://openalex.org/W2052662435","https://openalex.org/W2074104866","https://openalex.org/W2103404435","https://openalex.org/W2104809968","https://openalex.org/W2131518207","https://openalex.org/W2135916570","https://openalex.org/W2141136363","https://openalex.org/W2165169065","https://openalex.org/W2172041433","https://openalex.org/W2241988237","https://openalex.org/W4285719527","https://openalex.org/W6631794531","https://openalex.org/W6637131181","https://openalex.org/W6658979709","https://openalex.org/W6680236401"],"related_works":["https://openalex.org/W3024364549","https://openalex.org/W4206019083","https://openalex.org/W2048865712","https://openalex.org/W1976265003","https://openalex.org/W2032233321","https://openalex.org/W2370378377","https://openalex.org/W3121970507","https://openalex.org/W2110028391","https://openalex.org/W2130160813","https://openalex.org/W54497855"],"abstract_inverted_index":{"The":[0],"increasing":[1],"pervasiveness":[2],"of":[3,9,12,18,35,78,92,109,152,159],"location-acquisition":[4],"technologies":[5],"has":[6],"enabled":[7],"collection":[8],"huge":[10],"amount":[11],"trajectories":[13],"for":[14,135,145],"almost":[15],"any":[16],"kind":[17],"moving":[19],"objects.":[20],"Discovering":[21],"useful":[22],"patterns":[23,95],"from":[24],"their":[25],"movement":[26],"behaviours":[27],"can":[28,100],"convey":[29],"valuable":[30],"knowledge":[31],"to":[32,114],"a":[33,43,50,107,169],"variety":[34],"critical":[36],"applications.":[37],"In":[38],"this":[39,146],"light,":[40],"we":[41,104],"propose":[42],"novel":[44],"concept,":[45],"called":[46],"gathering,":[47],"which":[48,80],"is":[49,70],"trajectory":[51,98,138,172],"pattern":[52,125],"modelling":[53],"various":[54],"group":[55],"incidents":[56,73],"such":[57],"as":[58],"celebrations,":[59],"parades,":[60],"protests,":[61],"traffic":[62],"jams":[63],"and":[64,83,132,156],"so":[65],"on.":[66],"A":[67],"key":[68],"observation":[69],"that":[71],"these":[72],"typically":[74],"involve":[75],"large":[76],"congregations":[77],"individuals,":[79],"form":[81],"durable":[82],"stable":[84],"areas":[85],"with":[86,129],"high":[87],"density.":[88],"Since":[89],"the":[90,116,150,153,157,160],"process":[91],"discovering":[93],"gathering":[94],"over":[96],"large-scale":[97],"databases":[99],"be":[101],"quite":[102],"lengthy,":[103],"further":[105],"develop":[106],"set":[108],"well":[110],"thought":[111],"out":[112],"techniques":[113],"improve":[115],"performance.":[117],"These":[118],"techniques,":[119],"including":[120],"effective":[121],"indexing":[122],"structures,":[123],"fast":[124],"detection":[126],"algorithms":[127,134],"implemented":[128],"bit":[130],"vectors,":[131],"incremental":[133],"handling":[136],"new":[137],"arrivals,":[139],"collectively":[140],"constitute":[141],"an":[142],"efficient":[143],"solution":[144],"challenging":[147],"task.":[148],"Finally,":[149],"effectiveness":[151],"proposed":[154],"concepts":[155],"efficiency":[158],"approaches":[161],"are":[162],"validated":[163],"by":[164],"extensive":[165],"experiments":[166],"based":[167],"on":[168],"real":[170],"taxicab":[171],"dataset.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":21},{"year":2019,"cited_by_count":24},{"year":2018,"cited_by_count":33},{"year":2017,"cited_by_count":30},{"year":2016,"cited_by_count":27},{"year":2015,"cited_by_count":20},{"year":2014,"cited_by_count":16},{"year":2013,"cited_by_count":13}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}