{"id":"https://openalex.org/W2910195013","doi":"https://doi.org/10.1109/smc.2018.00126","title":"Modeling Individual's Movement Patterns to Infer Next Location from Sparse Trajectory Traces","display_name":"Modeling Individual's Movement Patterns to Infer Next Location from Sparse Trajectory Traces","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2910195013","doi":"https://doi.org/10.1109/smc.2018.00126","mag":"2910195013"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2018.00126","doi":"https://doi.org/10.1109/smc.2018.00126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2018.00126","pdf_url":null,"source":{"id":"https://openalex.org/S4210195764","display_name":"Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics","issn_l":"1062-922X","issn":["1062-922X","2577-1655"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},"volume":null,"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/A5030936455","display_name":"Soumya K. Ghosh","orcid":"https://orcid.org/0000-0001-8359-581X","observed_orcids":["https://orcid.org/0000-0001-8359-581X"]},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Soumya K. Ghosh","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049399884","display_name":"Shreya Ghosh","orcid":"https://orcid.org/0000-0002-6970-8889","observed_orcids":["https://orcid.org/0000-0002-6970-8889"]},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shreya Ghosh","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145894827"],"apc_list":null,"apc_paid":null,"fwci":4.3595,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.94819647,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"693","last_page":"698"},"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":0.6128000020980835,"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":0.6128000020980835,"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":0.3815999925136566,"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":0.0034000000450760126,"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/human-mobility-prediction","display_name":"human mobility prediction","score":0.9829999804496765},{"id":"https://openalex.org/keywords/next-location-prediction","display_name":"next location prediction","score":0.9670000076293945},{"id":"https://openalex.org/keywords/sparse-trajectory-data","display_name":"sparse trajectory data","score":0.7639999985694885},{"id":"https://openalex.org/keywords/gps-tracks","display_name":"GPS tracks","score":0.7910000085830688},{"id":"https://openalex.org/keywords/contextual-information","display_name":"contextual information","score":0.8040000200271606},{"id":"https://openalex.org/keywords/hierarchical-hidden-markov-models","display_name":"hierarchical hidden Markov models","score":0.8259999752044678}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7980130910873413},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7584595680236816},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7137177586555481},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.6909443140029907},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.5541467666625977},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.5275846719741821},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.49360859394073486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4572770595550537},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4348932206630707},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43338701128959656},{"id":"https://openalex.org/C191485582","wikidata":"https://www.wikidata.org/wiki/Q6887309","display_name":"Mobility model","level":2,"score":0.42328014969825745},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.14427444338798523},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2018.00126","doi":"https://doi.org/10.1109/smc.2018.00126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2018.00126","pdf_url":null,"source":{"id":"https://openalex.org/S4210195764","display_name":"Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics","issn_l":"1062-922X","issn":["1062-922X","2577-1655"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5142999887466431,"display_name":"Sustainable cities and communities"}],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/11","score":0.4399999976158142,"display_name":"Sustainable cities and communities"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2023596329","https://openalex.org/W2029902517","https://openalex.org/W2153207204","https://openalex.org/W2171267091","https://openalex.org/W2314484941","https://openalex.org/W2524850464","https://openalex.org/W2604230684","https://openalex.org/W2613773610","https://openalex.org/W2790519353","https://openalex.org/W2798629822"],"related_works":["https://openalex.org/W4393937918","https://openalex.org/W2898746819","https://openalex.org/W1972243012","https://openalex.org/W3012529204","https://openalex.org/W3035342250","https://openalex.org/W2980707094","https://openalex.org/W3102247173","https://openalex.org/W2523438800","https://openalex.org/W4388472084","https://openalex.org/W2203259244"],"abstract_inverted_index":{"Human":[0],"mobility":[1,39,112,123],"prediction":[2,97,113],"is":[3],"a":[4,85,102],"challenging":[5],"and":[6,28,42,67,75,88,104],"crucial":[7],"task":[8],"for":[9,47,111],"fostering":[10],"wide":[11],"spectrum":[12],"of":[13,70,95,125,134],"location":[14,31,45,96],"based":[15],"applications,":[16],"namely,":[17],"traffic":[18],"planning,":[19],"travel-plan":[20],"recommendation":[21],"etc.":[22],"However,":[23],"modeling":[24,41],"human":[25,38,62],"movement":[26,71],"behaviour":[27],"predicting":[29,43],"next":[30,44],"are":[32,55],"non-trivial":[33],"tasks.":[34],"We":[35],"consider":[36],"the":[37,68,93,132,135],"pattern":[40],"problem":[46],"semantic":[48],"trajectory":[49],"data,":[50],"wherein":[51],"sparse":[52,115,141],"GPS":[53,142],"records":[54],"associated":[56],"with":[57,64,140],"other":[58],"contextual":[59,76],"information.":[60],"Intuitively,":[61],"moves":[63],"an":[65],"intent":[66],"confluence":[69],"history":[72],"(GPS":[73],"traces)":[74],"information":[77],"may":[78],"help":[79],"in":[80],"capturing":[81],"people's":[82],"intents":[83],"at":[84],"fine":[86],"granularity":[87],"has":[89,117],"potential":[90],"to":[91],"improve":[92],"efficacy":[94,133],"problem.":[98],"In":[99],"this":[100],"paper,":[101],"hierarchical":[103],"layered":[105],"hidden":[106],"markov":[107],"model":[108],"(HMM)":[109],"framework":[110,137],"from":[114],"trajectories":[116],"been":[118],"proposed.":[119],"Experiment":[120],"on":[121],"real-life":[122],"dataset":[124],"Nokia":[126],"Mobile":[127],"Data":[128],"Challenge":[129],"(MDC)":[130],"demonstrates":[131],"proposed":[136],"even":[138],"when":[139],"traces.":[143]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2019-01-25T00:00:00"}