{"id":"https://openalex.org/W3014474284","doi":"https://doi.org/10.1145/3341105.3374045","title":"Exploring frequency-based approaches for efficient trajectory classification","display_name":"Exploring frequency-based approaches for efficient trajectory classification","publication_year":2020,"publication_date":"2020-03-29","ids":{"openalex":"https://openalex.org/W3014474284","doi":"https://doi.org/10.1145/3341105.3374045","mag":"3014474284"},"language":"en","primary_location":{"id":"doi:10.1145/3341105.3374045","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341105.3374045","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th Annual ACM Symposium on Applied Computing","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/A5063301945","display_name":"Francisco Vicenzi","orcid":null},"institutions":[{"id":"https://openalex.org/I4104125","display_name":"Universidade Federal de Santa Catarina","ror":"https://ror.org/041akq887","country_code":"BR","type":"education","lineage":["https://openalex.org/I4104125"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Francisco Vicenzi","raw_affiliation_strings":["Universidade Federal de Santa Catarina (UFSC), Florian\u00f3polis, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal de Santa Catarina (UFSC), Florian\u00f3polis, Brazil","institution_ids":["https://openalex.org/I4104125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059457978","display_name":"Lucas May Petry","orcid":"https://orcid.org/0000-0003-1462-4538"},"institutions":[{"id":"https://openalex.org/I4104125","display_name":"Universidade Federal de Santa Catarina","ror":"https://ror.org/041akq887","country_code":"BR","type":"education","lineage":["https://openalex.org/I4104125"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Lucas May Petry","raw_affiliation_strings":["Universidade Federal de Santa Catarina (UFSC), Florian\u00f3polis, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal de Santa Catarina (UFSC), Florian\u00f3polis, Brazil","institution_ids":["https://openalex.org/I4104125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022674201","display_name":"Camila Leite da Silva","orcid":"https://orcid.org/0000-0003-3739-9820"},"institutions":[{"id":"https://openalex.org/I4104125","display_name":"Universidade Federal de Santa Catarina","ror":"https://ror.org/041akq887","country_code":"BR","type":"education","lineage":["https://openalex.org/I4104125"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Camila Leite da Silva","raw_affiliation_strings":["Universidade Federal de Santa Catarina (UFSC), Florian\u00f3polis, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal de Santa Catarina (UFSC), Florian\u00f3polis, Brazil","institution_ids":["https://openalex.org/I4104125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015563747","display_name":"Lu\u00eds Ot\u00e1vio \u00c1lvares","orcid":"https://orcid.org/0000-0003-2372-4995"},"institutions":[{"id":"https://openalex.org/I4104125","display_name":"Universidade Federal de Santa Catarina","ror":"https://ror.org/041akq887","country_code":"BR","type":"education","lineage":["https://openalex.org/I4104125"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Luis Otavio Alvares","raw_affiliation_strings":["Universidade Federal de Santa Catarina (UFSC), Florian\u00f3polis, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal de Santa Catarina (UFSC), Florian\u00f3polis, Brazil","institution_ids":["https://openalex.org/I4104125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043726349","display_name":"V\u00e2nia Bogorny","orcid":"https://orcid.org/0000-0002-0159-4643"},"institutions":[{"id":"https://openalex.org/I4104125","display_name":"Universidade Federal de Santa Catarina","ror":"https://ror.org/041akq887","country_code":"BR","type":"education","lineage":["https://openalex.org/I4104125"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Vania Bogorny","raw_affiliation_strings":["Universidade Federal de Santa Catarina (UFSC), Florian\u00f3polis, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal de Santa Catarina (UFSC), Florian\u00f3polis, Brazil","institution_ids":["https://openalex.org/I4104125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5063301945"],"corresponding_institution_ids":["https://openalex.org/I4104125"],"apc_list":null,"apc_paid":null,"fwci":1.5379,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.84650735,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"624","last_page":"631"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T11106","display_name":"Data Management and Algorithms","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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.8789772391319275},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7975285053253174},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.7307655811309814},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6526509523391724},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.5334874391555786},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.5024700164794922},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.47902029752731323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46557849645614624},{"id":"https://openalex.org/keywords/movement","display_name":"Movement (music)","score":0.4624806344509125},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.445911705493927},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3404708504676819},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3230617642402649}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.8789772391319275},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7975285053253174},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.7307655811309814},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6526509523391724},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.5334874391555786},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.5024700164794922},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.47902029752731323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46557849645614624},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.4624806344509125},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.445911705493927},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3404708504676819},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3230617642402649},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3341105.3374045","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341105.3374045","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th Annual ACM Symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1557937953","https://openalex.org/W1976062966","https://openalex.org/W1982300822","https://openalex.org/W2015378554","https://openalex.org/W2019291648","https://openalex.org/W2022749020","https://openalex.org/W2071702404","https://openalex.org/W2105093929","https://openalex.org/W2110707662","https://openalex.org/W2110953678","https://openalex.org/W2296088976","https://openalex.org/W2590038026","https://openalex.org/W2741206673","https://openalex.org/W2767216790","https://openalex.org/W2788857645","https://openalex.org/W2810627351","https://openalex.org/W3103750832"],"related_works":["https://openalex.org/W2511659749","https://openalex.org/W2586260537","https://openalex.org/W4298124901","https://openalex.org/W2938768289","https://openalex.org/W2097798302","https://openalex.org/W4299500785","https://openalex.org/W2297361961","https://openalex.org/W2950879101","https://openalex.org/W1964507951","https://openalex.org/W2893876445"],"abstract_inverted_index":{"In":[0,117],"the":[1,27,31,68,105,113,143,147,150],"last":[2],"few":[3],"years,":[4],"several":[5],"trajectory":[6,41,127],"classification":[7,128],"methods":[8,71],"have":[9,57],"been":[10,58],"proposed":[11,144],"for":[12,72,155],"mobility":[13,63],"data":[14,42],"collected":[15],"from":[16,26,44],"GPS":[17,79],"devices.":[18],"Most":[19],"of":[20,30,54,70,76,115,149,158],"them":[21],"only":[22],"use":[23],"information":[24],"derived":[25],"physical":[28],"movement":[29,86],"object,":[32],"as":[33],"speed,":[34],"acceleration,":[35],"and":[36,85,92,101,125,152],"direction":[37],"variation.":[38],"More":[39],"recently,":[40],"obtained":[43],"location-based":[45],"social":[46,95],"networks,":[47],"based":[48,130],"on":[49,131,136],"user":[50,62],"check-ins":[51],"in":[52,82],"Points":[53],"Interest":[55],"(POIs),":[56],"used":[59],"to":[60,67],"analyze":[61],"patterns,":[64,94],"giving":[65],"rise":[66],"development":[69],"this":[73,118],"specific":[74],"type":[75],"data.":[77,159],"While":[78],"trajectories":[80,97],"are":[81,98],"general":[83],"dense,":[84],"is":[87,153],"characterized":[88,110],"by":[89,112],"spatio-temporal":[90],"features":[91],"sequential":[93],"media":[96],"mostly":[99],"sparse,":[100],"we":[102,120,140],"claim":[103],"that":[104,142],"moving":[106],"object":[107],"can":[108],"be":[109],"simply":[111],"frequency":[114],"visits.":[116],"paper":[119],"propose":[121],"a":[122],"simple,":[123],"effective,":[124],"efficient":[126],"method":[129,145],"POI":[132],"frequency.":[133],"With":[134],"experiments":[135],"three":[137],"real":[138],"datasets":[139],"show":[141],"outperforms":[146],"state":[148],"art":[151],"suitable":[154],"large":[156],"amounts":[157]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}