{"id":"https://openalex.org/W2582379768","doi":"https://doi.org/10.1109/hpcc-smartcity-dss.2016.0175","title":"Discovery of Loose Travelling Companion Patterns from Human Trajectories","display_name":"Discovery of Loose Travelling Companion Patterns from Human Trajectories","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2582379768","doi":"https://doi.org/10.1109/hpcc-smartcity-dss.2016.0175","mag":"2582379768"},"language":"en","primary_location":{"id":"doi:10.1109/hpcc-smartcity-dss.2016.0175","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcc-smartcity-dss.2016.0175","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108001273","display_name":"Elahe Naserian","orcid":"https://orcid.org/0000-0003-2668-0107"},"institutions":[{"id":"https://openalex.org/I868834043","display_name":"University of the West of Scotland","ror":"https://ror.org/04w3d2v20","country_code":"GB","type":"education","lineage":["https://openalex.org/I868834043"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Elahe Naserian","raw_affiliation_strings":["University of The West of Scotland, Paisley, Scotland, UK"],"affiliations":[{"raw_affiliation_string":"University of The West of Scotland, Paisley, Scotland, UK","institution_ids":["https://openalex.org/I868834043"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009959856","display_name":"Xinheng Wang","orcid":"https://orcid.org/0000-0001-8771-8901"},"institutions":[{"id":"https://openalex.org/I868834043","display_name":"University of the West of Scotland","ror":"https://ror.org/04w3d2v20","country_code":"GB","type":"education","lineage":["https://openalex.org/I868834043"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xinheng Wang","raw_affiliation_strings":["University of The West of Scotland, Paisley, Scotland, UK"],"affiliations":[{"raw_affiliation_string":"University of The West of Scotland, Paisley, Scotland, UK","institution_ids":["https://openalex.org/I868834043"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100777027","display_name":"Xiaolong Xu","orcid":"https://orcid.org/0000-0001-6254-5864"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Xu","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100432282","display_name":"Yuning Dong","orcid":"https://orcid.org/0000-0003-4898-331X"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuning Dong","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5108001273"],"corresponding_institution_ids":["https://openalex.org/I868834043"],"apc_list":null,"apc_paid":null,"fwci":0.7565,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.74038347,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1238","last_page":"1245"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9940000176429749,"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":0.9840999841690063,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6070588827133179}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6070588827133179}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpcc-smartcity-dss.2016.0175","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcc-smartcity-dss.2016.0175","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1561689808","https://openalex.org/W1934562893","https://openalex.org/W1945085495","https://openalex.org/W2007159514","https://openalex.org/W2028113911","https://openalex.org/W2028618575","https://openalex.org/W2047514382","https://openalex.org/W2057530947","https://openalex.org/W2072957930","https://openalex.org/W2074104866","https://openalex.org/W2105772399","https://openalex.org/W2126194848","https://openalex.org/W2126254307","https://openalex.org/W2141136363","https://openalex.org/W2141296717","https://openalex.org/W2147880780","https://openalex.org/W2163347789","https://openalex.org/W2165169065","https://openalex.org/W2198645072","https://openalex.org/W6633735372","https://openalex.org/W6640543616","https://openalex.org/W6657267463","https://openalex.org/W7071834442"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Discovery":[0],"of":[1,15,95,111],"useful":[2],"patterns":[3],"from":[4],"human":[5,70],"movement":[6,71,101,151],"behavior":[7],"can":[8,193],"convey":[9],"valuable":[10],"knowledge":[11,163],"to":[12,31,41,44,65,86,123,147,157,168],"a":[13,36,88,141],"variety":[14],"critical":[16],"applications.":[17],"Existing":[18],"approaches":[19],"focus":[20],"on":[21],"outdoor":[22],"group":[23],"discovery":[24],"and":[25,102,172,178,183,197],"mainly":[26],"consider":[27],"objects":[28,61,82],"who":[29],"belong":[30],"the":[32,42,47,69,75,93,100,108,115,121,124,132,149,159,175,181,190],"same":[33],"cluster":[34],"as":[35,90,92],"possible":[37],"group,":[38,89],"which":[39,80,130,144],"leads":[40],"inability":[43],"discover":[45,158,194],"all":[46,103],"existing":[48],"groups.":[49,160,199],"This":[50],"is":[51,145,187],"especially":[52],"true":[53],"for":[54],"indoor":[55],"human-generated":[56],"trajectories,":[57],"where":[58],"spatially":[59],"distant":[60],"could":[62],"be":[63,166],"related":[64],"one":[66],"group.":[67],"Considering":[68],"characteristic,":[72],"we":[73,119,138],"propose":[74],"loose":[76],"travelling":[77,127],"companion":[78,128],"pattern":[79,129],"allows":[81],"in":[83,107,155],"different":[84],"clusters":[85,96],"form":[87],"long":[91],"community":[94],"doesn't":[97],"change":[98],"during":[99],"members":[104],"stay":[105],"together":[106],"limited":[109],"number":[110],"times.":[112],"To":[113],"tolerate":[114],"unrealistic":[116],"temporary":[117],"clusters,":[118],"extend":[120],"algorithm":[122],"weakly":[125],"consistent":[126],"relaxes":[131],"continuous":[133],"requirement.":[134],"In":[135],"this":[136],"paper,":[137],"also":[139],"introduce":[140],"smart":[142],"trolley":[143],"used":[146],"collect":[148],"passenger":[150],"data":[152],"at":[153],"airports":[154],"order":[156],"The":[161],"acquired":[162],"will":[164],"then":[165],"applied":[167],"provide":[169],"personalized":[170],"services":[171],"advertisement.":[173],"By":[174],"experimental":[176],"analysis":[177],"comparison":[179],"with":[180],"real":[182],"synthetic":[184],"datasets,":[185],"it":[186],"shown":[188],"that":[189],"proposed":[191],"approach":[192],"more":[195],"complete":[196],"accurate":[198]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}