{"id":"https://openalex.org/W4206829623","doi":"https://doi.org/10.1109/bigdata52589.2021.9671400","title":"Clustering of Human Movement Trajectories based on Distributional Representations Derived from Bi-directional LSTM Network with Geographical Coordinates","display_name":"Clustering of Human Movement Trajectories based on Distributional Representations Derived from Bi-directional LSTM Network with Geographical Coordinates","publication_year":2021,"publication_date":"2021-12-15","ids":{"openalex":"https://openalex.org/W4206829623","doi":"https://doi.org/10.1109/bigdata52589.2021.9671400"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata52589.2021.9671400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671400","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5043099974","display_name":"Hiroki Tanaka","orcid":"https://orcid.org/0000-0002-0548-6252"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroki Tanaka","raw_affiliation_strings":["Center for Advanced Intelligence Project, RIKEN, Nara Institute of Science and Technology Ikoma, Nara, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Advanced Intelligence Project, RIKEN, Nara Institute of Science and Technology Ikoma, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031228392","display_name":"Takeshi Saga","orcid":"https://orcid.org/0009-0003-7824-5016"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeshi Saga","raw_affiliation_strings":["Center for Advanced Intelligence Project, RIKEN, Nara Institute of Science and Technology Ikoma, Nara, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Advanced Intelligence Project, RIKEN, Nara Institute of Science and Technology Ikoma, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020994673","display_name":"Satoshi Nakamura","orcid":"https://orcid.org/0000-0001-6956-3803"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoshi Nakamura","raw_affiliation_strings":["Center for Advanced Intelligence Project, RIKEN, Nara Institute of Science and Technology Ikoma, Nara, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Advanced Intelligence Project, RIKEN, Nara Institute of Science and Technology Ikoma, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I75917431"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2936","last_page":"2940"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998000264167786,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.757723331451416},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7134002447128296},{"id":"https://openalex.org/keywords/geographic-coordinate-system","display_name":"Geographic coordinate system","score":0.7014373540878296},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6779506206512451},{"id":"https://openalex.org/keywords/movement","display_name":"Movement (music)","score":0.6364192962646484},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5104974508285522},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4729989171028137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46449875831604004},{"id":"https://openalex.org/keywords/longitude","display_name":"Longitude","score":0.4539785087108612},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.452130526304245},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.44296663999557495},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.41541197896003723},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39197108149528503},{"id":"https://openalex.org/keywords/latitude","display_name":"Latitude","score":0.22966593503952026},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13119608163833618},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.10386162996292114}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.757723331451416},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7134002447128296},{"id":"https://openalex.org/C123046963","wikidata":"https://www.wikidata.org/wiki/Q22664","display_name":"Geographic coordinate system","level":2,"score":0.7014373540878296},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6779506206512451},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.6364192962646484},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5104974508285522},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4729989171028137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46449875831604004},{"id":"https://openalex.org/C2780554747","wikidata":"https://www.wikidata.org/wiki/Q36477","display_name":"Longitude","level":3,"score":0.4539785087108612},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.452130526304245},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.44296663999557495},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.41541197896003723},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39197108149528503},{"id":"https://openalex.org/C122523270","wikidata":"https://www.wikidata.org/wiki/Q34027","display_name":"Latitude","level":2,"score":0.22966593503952026},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13119608163833618},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.10386162996292114},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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":1,"locations":[{"id":"doi:10.1109/bigdata52589.2021.9671400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671400","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2225320996","https://openalex.org/W2339065330","https://openalex.org/W2468220216","https://openalex.org/W2539781657","https://openalex.org/W2919248817","https://openalex.org/W2997885661","https://openalex.org/W2999895640","https://openalex.org/W3119733289","https://openalex.org/W3155186850","https://openalex.org/W4220724736","https://openalex.org/W6728864075","https://openalex.org/W6780489777","https://openalex.org/W6788569967"],"related_works":["https://openalex.org/W2953625540","https://openalex.org/W2382421023","https://openalex.org/W2388796632","https://openalex.org/W1953492254","https://openalex.org/W2055013599","https://openalex.org/W2259415363","https://openalex.org/W2003279923","https://openalex.org/W2558443445","https://openalex.org/W1989038990","https://openalex.org/W3184021873"],"abstract_inverted_index":{"As":[0,113],"the":[1,50,54,57,68,76,86,92,106,118,121],"ubiquity":[2],"of":[3,31,34,56,120,130],"such":[4],"wearable":[5],"devices":[6],"as":[7,29],"smart-phones":[8],"continues":[9],"to":[10,21,74,103],"deepen":[11],"its":[12],"presence":[13],"in":[14,101],"modern":[15],"societies,":[16],"it":[17],"has":[18],"become":[19],"possible":[20],"analyze":[22],"and":[23,91,98,109,125,127],"visualize":[24],"people":[25],"who":[26],"are":[27],"moving":[28],"part":[30],"a":[32,114],"trajectory":[33],"big":[35],"data.":[36],"In":[37,80],"this":[38,81],"study,":[39,82],"we":[40,52,83,116],"cluster":[41],"human":[42,131],"movement":[43,132],"trajectories":[44],"using":[45,85],"time-series":[46],"distributional":[47],"representations.":[48],"For":[49],"clustering,":[51],"calculated":[53],"distance":[55],"representation":[58],"vectors":[59],"derived":[60],"from":[61],"neural":[62],"network":[63,73,90],"models.":[64],"Previous":[65],"work":[66],"leveraged":[67],"Long":[69],"short-term":[70],"memory":[71],"(LSTM)":[72],"train":[75],"next":[77,107,122],"mesh":[78,108,123],"prediction.":[79],"propose":[84],"Bi-directional":[87],"LSTM":[88],"(Bi-LSTM)":[89],"integrated":[93],"additional":[94],"geographical":[95],"coordinates":[96],"(latitude":[97],"longitude":[99],"information)":[100],"models":[102],"accurately":[104],"predict":[105],"construct":[110],"user":[111],"clusters.":[112],"result,":[115],"improved":[117],"accuracy":[119],"prediction":[124],"obtained":[126],"visualized":[128],"clusters":[129],"trajectories.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}