{"id":"https://openalex.org/W2924884138","doi":"https://doi.org/10.3390/s19061475","title":"Next Location Prediction Based on an Adaboost-Markov Model of Mobile Users","display_name":"Next Location Prediction Based on an Adaboost-Markov Model of Mobile Users","publication_year":2019,"publication_date":"2019-03-26","ids":{"openalex":"https://openalex.org/W2924884138","doi":"https://doi.org/10.3390/s19061475","mag":"2924884138","pmid":"https://pubmed.ncbi.nlm.nih.gov/30917583"},"language":"en","primary_location":{"id":"doi:10.3390/s19061475","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19061475","pdf_url":"https://www.mdpi.com/1424-8220/19/6/1475/pdf?version=1553599703","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/19/6/1475/pdf?version=1553599703","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100357107","display_name":"Hongjun Wang","orcid":"https://orcid.org/0000-0001-6736-6566"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjun Wang","raw_affiliation_strings":["National University of Defense Technology, Hefei 230037, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Hefei 230037, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101906746","display_name":"Zhen Yang","orcid":"https://orcid.org/0000-0001-8680-3303"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhen Yang","raw_affiliation_strings":["National University of Defense Technology, Hefei 230037, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Hefei 230037, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112559493","display_name":"Yingchun Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingchun Shi","raw_affiliation_strings":["National University of Defense Technology, Hefei 230037, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Hefei 230037, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101906746"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":8.3274,"has_fulltext":true,"cited_by_count":34,"citation_normalized_percentile":{"value":0.96760835,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"19","issue":"6","first_page":"1475","last_page":"1475"},"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":0.9923999905586243,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9771000146865845,"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/trajectory","display_name":"Trajectory","score":0.7061532139778137},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6799972653388977},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.6793987154960632},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.6431093215942383},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6208315491676331},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.6053703427314758},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.5510872602462769},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5130521059036255},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45911189913749695},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4522911608219147},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3921201825141907},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39143139123916626},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15270856022834778},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.12314435839653015},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11569494009017944}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7061532139778137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6799972653388977},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.6793987154960632},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.6431093215942383},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6208315491676331},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.6053703427314758},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5510872602462769},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5130521059036255},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45911189913749695},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4522911608219147},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3921201825141907},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39143139123916626},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15270856022834778},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.12314435839653015},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11569494009017944},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s19061475","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19061475","pdf_url":"https://www.mdpi.com/1424-8220/19/6/1475/pdf?version=1553599703","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:30917583","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30917583","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:e9112f5842454fcaa966a2aa5ade544b","is_oa":true,"landing_page_url":"https://doaj.org/article/e9112f5842454fcaa966a2aa5ade544b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 19, Iss 6, p 1475 (2019)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:5464946","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6470696","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/19/6/1475/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s19061475","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s19061475","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19061475","pdf_url":"https://www.mdpi.com/1424-8220/19/6/1475/pdf?version=1553599703","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.75}],"awards":[{"id":"https://openalex.org/G5917555694","display_name":null,"funder_award_id":"61273302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2924884138.pdf","grobid_xml":"https://content.openalex.org/works/W2924884138.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W52091974","https://openalex.org/W66477288","https://openalex.org/W610720406","https://openalex.org/W800432607","https://openalex.org/W1525147170","https://openalex.org/W1581198862","https://openalex.org/W1589260910","https://openalex.org/W1626398438","https://openalex.org/W1922515943","https://openalex.org/W1964461063","https://openalex.org/W1971380562","https://openalex.org/W1972584537","https://openalex.org/W1981398125","https://openalex.org/W1982300822","https://openalex.org/W1987228002","https://openalex.org/W1994292329","https://openalex.org/W2008399320","https://openalex.org/W2009155608","https://openalex.org/W2024877464","https://openalex.org/W2067261106","https://openalex.org/W2068225172","https://openalex.org/W2071800624","https://openalex.org/W2075364600","https://openalex.org/W2092943330","https://openalex.org/W2101823987","https://openalex.org/W2104821570","https://openalex.org/W2107575246","https://openalex.org/W2110953678","https://openalex.org/W2128338591","https://openalex.org/W2132968912","https://openalex.org/W2139809240","https://openalex.org/W2141596757","https://openalex.org/W2143554828","https://openalex.org/W2165835468","https://openalex.org/W2168518742","https://openalex.org/W2188766739","https://openalex.org/W2286681216","https://openalex.org/W2407223074","https://openalex.org/W2502403040","https://openalex.org/W2598593653","https://openalex.org/W2809129889","https://openalex.org/W2911478721","https://openalex.org/W2950359997","https://openalex.org/W3006381029","https://openalex.org/W3102247173","https://openalex.org/W3141241100","https://openalex.org/W6636500457","https://openalex.org/W6640332913","https://openalex.org/W7025305084"],"related_works":["https://openalex.org/W1510894296","https://openalex.org/W2134386692","https://openalex.org/W2379651310","https://openalex.org/W2113019827","https://openalex.org/W1541249122","https://openalex.org/W2084326697","https://openalex.org/W2194396582","https://openalex.org/W2027903142","https://openalex.org/W2082284720","https://openalex.org/W2116722627"],"abstract_inverted_index":{"As":[0],"an":[1,96],"emerging":[2],"class":[3],"of":[4,51,72,81,109,135,149,165,183,203],"spatial":[5],"trajectory":[6,10,31,57,65,74,82,175],"data,":[7,58],"mobile":[8,110],"user":[9,54,174],"data":[11,32,66],"can":[12],"be":[13],"used":[14,35],"to":[15,46,78,105,146,160,211],"analyze":[16],"individual":[17],"or":[18],"group":[19],"behavioral":[20],"characteristics,":[21],"hobbies":[22],"and":[23,41,84,131,197,200],"interests.":[24],"Besides,":[25],"the":[26,48,52,69,79,92,119,124,132,136,142,147,166,172,180,189,198,209],"information":[27],"extracted":[28,76,89],"from":[29,55],"original":[30,73],"is":[33,67,122,128,158,186,206],"widely":[34],"in":[36,103],"smart":[37],"cities,":[38],"transportation":[39],"planning,":[40],"anti-terrorism":[42],"maintenance.":[43],"In":[44],"order":[45,104,126,151,213],"identify":[47],"important":[49,86,163],"locations":[50,87],"target":[53],"his":[56],"a":[59,112,153],"novel":[60],"division":[61],"method":[62],"for":[63],"preprocessing":[64],"proposed,":[68,123],"feature":[70,93],"points":[71],"are":[75,88,139],"according":[77,145],"change":[80],"structural,":[83],"then":[85],"by":[90,141],"clustering":[91,100],"points,":[94],"using":[95],"improved":[97],"density":[98],"peak":[99],"algorithm.":[101],"Finally,":[102],"predict":[106,161],"next":[107,162],"location":[108,164],"users,":[111],"multi-order":[113,154,190],"fusion":[114,155,191],"Markov":[115,156,192,214],"model":[116,125,157,185,193,205],"based":[117],"on":[118,171],"Adaboost":[120,143],"algorithm":[121,144],"k":[127],"adaptively":[129],"determined,":[130],"weight":[133],"coefficients":[134],"1~k-order":[137],"models":[138],"given":[140],"importance":[148],"various":[150],"models,":[152],"generated":[159],"user.":[167],"The":[168],"experimental":[169],"results":[170],"real":[173],"dataset":[176],"Geo-life":[177],"show":[178],"that":[179],"prediction":[181,201],"performance":[182,202],"Adaboost-Markov":[184,204],"better":[187,207],"than":[188,208],"with":[194],"equal":[195],"coefficient,":[196],"universality":[199],"first":[210],"third":[212],"models.":[215]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":3}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}