{"id":"https://openalex.org/W3096407389","doi":"https://doi.org/10.1186/s13174-020-00130-7","title":"Ensemble mobility predictor based on random forest and Markovian property using LBSN data","display_name":"Ensemble mobility predictor based on random forest and Markovian property using LBSN data","publication_year":2020,"publication_date":"2020-11-05","ids":{"openalex":"https://openalex.org/W3096407389","doi":"https://doi.org/10.1186/s13174-020-00130-7","mag":"3096407389"},"language":"en","primary_location":{"id":"doi:10.1186/s13174-020-00130-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13174-020-00130-7","pdf_url":"https://jisajournal.springeropen.com/track/pdf/10.1186/s13174-020-00130-7","source":{"id":"https://openalex.org/S1250476","display_name":"Journal of Internet Services and Applications","issn_l":"1867-4828","issn":["1867-4828","1869-0238"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Internet Services and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://jisajournal.springeropen.com/track/pdf/10.1186/s13174-020-00130-7","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059164915","display_name":"Felipe Ara\u00fajo","orcid":"https://orcid.org/0000-0002-2782-7097"},"institutions":[{"id":"https://openalex.org/I59606676","display_name":"Universidade Federal do Par\u00e1","ror":"https://ror.org/03q9sr818","country_code":"BR","type":"education","lineage":["https://openalex.org/I59606676"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Felipe Ara\u00fajo","raw_affiliation_strings":["Federal University of Par\u00e1, Rua Augusto Corr\u00eaa, 01, Bel\u00e9m, Par\u00e1, 66075-110, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Par\u00e1, Rua Augusto Corr\u00eaa, 01, Bel\u00e9m, Par\u00e1, 66075-110, Brazil","institution_ids":["https://openalex.org/I59606676"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034228170","display_name":"Fabio Souza de Ara\u00fajo","orcid":"https://orcid.org/0000-0002-2011-7738"},"institutions":[{"id":"https://openalex.org/I59606676","display_name":"Universidade Federal do Par\u00e1","ror":"https://ror.org/03q9sr818","country_code":"BR","type":"education","lineage":["https://openalex.org/I59606676"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"F\u00e1bio Ara\u00fajo","raw_affiliation_strings":["Federal University of Par\u00e1, Rua Augusto Corr\u00eaa, 01, Bel\u00e9m, Par\u00e1, 66075-110, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Par\u00e1, Rua Augusto Corr\u00eaa, 01, Bel\u00e9m, Par\u00e1, 66075-110, Brazil","institution_ids":["https://openalex.org/I59606676"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113664733","display_name":"K\u00e1ssio Machado","orcid":null},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"K\u00e1ssio Machado","raw_affiliation_strings":["Federal University of Minas Gerais (UFMG), Minas Gerais, 13083-852, Belo Horizonte, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Minas Gerais (UFMG), Minas Gerais, 13083-852, Belo Horizonte, Brazil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029447124","display_name":"D\u00eanis Ros\u00e1rio","orcid":"https://orcid.org/0000-0003-1119-2450"},"institutions":[{"id":"https://openalex.org/I59606676","display_name":"Universidade Federal do Par\u00e1","ror":"https://ror.org/03q9sr818","country_code":"BR","type":"education","lineage":["https://openalex.org/I59606676"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Denis Ros\u00e1rio","raw_affiliation_strings":["Federal University of Par\u00e1, Rua Augusto Corr\u00eaa, 01, Bel\u00e9m, Par\u00e1, 66075-110, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Par\u00e1, Rua Augusto Corr\u00eaa, 01, Bel\u00e9m, Par\u00e1, 66075-110, Brazil","institution_ids":["https://openalex.org/I59606676"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052758924","display_name":"Eduardo Cerqueira","orcid":"https://orcid.org/0000-0003-2162-6523"},"institutions":[{"id":"https://openalex.org/I59606676","display_name":"Universidade Federal do Par\u00e1","ror":"https://ror.org/03q9sr818","country_code":"BR","type":"education","lineage":["https://openalex.org/I59606676"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Eduardo Cerqueira","raw_affiliation_strings":["Federal University of Par\u00e1, Rua Augusto Corr\u00eaa, 01, Bel\u00e9m, Par\u00e1, 66075-110, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Par\u00e1, Rua Augusto Corr\u00eaa, 01, Bel\u00e9m, Par\u00e1, 66075-110, Brazil","institution_ids":["https://openalex.org/I59606676"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025642074","display_name":"Leandro A. Villas","orcid":"https://orcid.org/0000-0002-3372-3366"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Leandro A. Villas","raw_affiliation_strings":["Institute of Computing, University of Campinas, Campinas, S\u00e3o Paulo, 13083-852, Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Computing, University of Campinas, Campinas, S\u00e3o Paulo, 13083-852, Brazil","institution_ids":["https://openalex.org/I181391015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5059164915"],"corresponding_institution_ids":["https://openalex.org/I59606676"],"apc_list":null,"apc_paid":null,"fwci":1.8538,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.88043765,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"11","issue":"1","first_page":null,"last_page":null},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9952999949455261,"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"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9771000146865845,"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":0.749252438545227},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6683340072631836},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6344931125640869},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5413835048675537},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5084551572799683},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49771788716316223},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.49204370379447937},{"id":"https://openalex.org/keywords/random-walk","display_name":"Random walk","score":0.4834957420825958},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4696103036403656},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.46457135677337646},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.46051231026649475},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4558010399341583},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4489606022834778},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40016481280326843},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3875386714935303},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1290038824081421},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12325853109359741},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11879706382751465}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.749252438545227},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6683340072631836},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6344931125640869},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5413835048675537},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5084551572799683},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49771788716316223},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.49204370379447937},{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.4834957420825958},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4696103036403656},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.46457135677337646},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.46051231026649475},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4558010399341583},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4489606022834778},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40016481280326843},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3875386714935303},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1290038824081421},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12325853109359741},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11879706382751465},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13174-020-00130-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13174-020-00130-7","pdf_url":"https://jisajournal.springeropen.com/track/pdf/10.1186/s13174-020-00130-7","source":{"id":"https://openalex.org/S1250476","display_name":"Journal of Internet Services and Applications","issn_l":"1867-4828","issn":["1867-4828","1869-0238"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Internet Services and Applications","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3d45d789190d47b8b749461c6fb57f86","is_oa":true,"landing_page_url":"https://doaj.org/article/3d45d789190d47b8b749461c6fb57f86","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Internet Services and Applications, Vol 11, Iss 1, Pp 1-11 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13174-020-00130-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13174-020-00130-7","pdf_url":"https://jisajournal.springeropen.com/track/pdf/10.1186/s13174-020-00130-7","source":{"id":"https://openalex.org/S1250476","display_name":"Journal of Internet Services and Applications","issn_l":"1867-4828","issn":["1867-4828","1869-0238"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Internet Services and Applications","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8299999833106995,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1429890386","display_name":null,"funder_award_id":"(CNPq","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G3288294548","display_name":null,"funder_award_id":"Code 001.","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G3331681876","display_name":null,"funder_award_id":"CAPES","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G3883789297","display_name":null,"funder_award_id":"Code 00","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G3938906640","display_name":null,"funder_award_id":"(CAPES)","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G4332196409","display_name":null,"funder_award_id":"Finance_Code_001","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G4850813901","display_name":null,"funder_award_id":"Finance Code 001","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G5079005330","display_name":null,"funder_award_id":"support","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G5139334624","display_name":null,"funder_award_id":"Coordena\u00e7\u00e3o","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G5696276328","display_name":null,"funder_award_id":"Finance","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G6160365333","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G6515092298","display_name":null,"funder_award_id":"Finance Code 001","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G7021628184","display_name":null,"funder_award_id":"2016-8","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G7049805219","display_name":null,"funder_award_id":"431474/2016-8","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G7295187585","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G8837013128","display_name":null,"funder_award_id":"Code 0","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G963174003","display_name":null,"funder_award_id":"de Aperfei\u00e7","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"}],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3096407389.pdf","grobid_xml":"https://content.openalex.org/works/W3096407389.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W86033755","https://openalex.org/W618024573","https://openalex.org/W1511821948","https://openalex.org/W1535467187","https://openalex.org/W1832441260","https://openalex.org/W1966559656","https://openalex.org/W1976094288","https://openalex.org/W1993995511","https://openalex.org/W2062930567","https://openalex.org/W2128100639","https://openalex.org/W2137229158","https://openalex.org/W2344461354","https://openalex.org/W2408538552","https://openalex.org/W2568474869","https://openalex.org/W2585226328","https://openalex.org/W2620701599","https://openalex.org/W2755353685","https://openalex.org/W2770092988","https://openalex.org/W2772787462","https://openalex.org/W2884745705","https://openalex.org/W2913696439","https://openalex.org/W2914989158","https://openalex.org/W2924884138","https://openalex.org/W2960018280","https://openalex.org/W2963393241","https://openalex.org/W2974497860","https://openalex.org/W2996069867","https://openalex.org/W3102247173","https://openalex.org/W4232462633"],"related_works":["https://openalex.org/W2944292463","https://openalex.org/W3014252901","https://openalex.org/W2188759683","https://openalex.org/W2794896638","https://openalex.org/W4317376680","https://openalex.org/W4360777922","https://openalex.org/W1807784185","https://openalex.org/W3208169454","https://openalex.org/W4390905871","https://openalex.org/W3202800081"],"abstract_inverted_index":{"Abstract":[0],"The":[1,165],"ubiquitous":[2],"connectivity":[3],"of":[4,48,79,126,161,180],"Location-Based":[5,19],"Systems":[6],"(LBS)":[7],"allows":[8],"people":[9],"to":[10,26,54,123,134,183],"share":[11],"individual":[12],"location-related":[13],"data":[14,36,41],"anytime.":[15],"In":[16,58,85,113,144],"this":[17,40,59,86],"sense,":[18,60],"Social":[20],"Networks":[21],"(LBSN)":[22],"provides":[23],"valuable":[24],"information":[25],"be":[27],"available":[28],"in":[29,66,81,103],"large-scale":[30],"and":[31,45,72,74,129,178],"low-cost":[32],"fashion":[33],"via":[34],"traditional":[35],"collection":[37],"methods.":[38],"Moreover,":[39],"contains":[42],"spatial,":[43],"temporal,":[44],"social":[46],"features":[47],"user":[49,56,171],"activity,":[50],"enabling":[51],"a":[52,98,175],"system":[53],"predict":[55,135],"mobility.":[57],"mobility":[61,95],"prediction":[62,96],"plays":[63],"crucial":[64],"roles":[65],"urban":[67],"planning,":[68],"traffic":[69],"forecasting,":[70],"advertising,":[71],"recommendations,":[73],"has":[75],"thus":[76],"attracted":[77],"lots":[78],"attention":[80],"the":[82,90,105,114,119,130,136,145,148,151,158,169],"past":[83],"decade.":[84],"article,":[87],"we":[88],"introduce":[89],"Ensemble":[91],"Random":[92,131],"Forest-Markov":[93],"(ERFM)":[94],"model,":[97],"two-layer":[99],"ensemble":[100,110],"learner":[101],"approach,":[102],"which":[104],"base":[106],"learners":[107],"are":[108,154],"also":[109],"learning":[111],"models.":[112],"inner":[115],"layer,":[116,147],"ERFM":[117,181],"considers":[118],"Markovian":[120],"property":[121],"(memoryless)":[122],"build":[124],"trajectories":[125],"different":[127],"lengths,":[128],"Forest":[132],"algorithm":[133],"user\u2019s":[137],"next":[138],"location":[139],"for":[140],"each":[141,162],"trajectory":[142,172],"set.":[143],"outer":[146],"outputs":[149],"from":[150],"first":[152],"layer":[153],"aggregated":[155],"based":[156],"on":[157,168],"classification":[159],"performance":[160],"weak":[163],"learner.":[164],"experimental":[166],"results":[167],"real":[170],"dataset":[173],"highlight":[174],"higher":[176],"accuracy":[177],"f1-score":[179],"compared":[182],"five":[184],"state-of-the-art":[185],"predictors.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}
