{"id":"https://openalex.org/W4380928271","doi":"https://doi.org/10.1145/3597061.3597260","title":"Imputation of Human Mobility Data for Comprehensive Risk Models","display_name":"Imputation of Human Mobility Data for Comprehensive Risk Models","publication_year":2023,"publication_date":"2023-06-16","ids":{"openalex":"https://openalex.org/W4380928271","doi":"https://doi.org/10.1145/3597061.3597260"},"language":"en","primary_location":{"id":"doi:10.1145/3597061.3597260","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3597061.3597260","pdf_url":"https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F3597061.3597260&file=p19-kumari-supp.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th Workshop on Body-Centric Computing Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F3597061.3597260&file=p19-kumari-supp.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004305678","display_name":"Shashee Kumari","orcid":"https://orcid.org/0009-0006-1402-219X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shashee Kumari","raw_affiliation_strings":["TCS Research, Delhi, India"],"raw_orcid":"https://orcid.org/0009-0006-1402-219X","affiliations":[{"raw_affiliation_string":"TCS Research, Delhi, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045988985","display_name":"Sakyajit Bhattacharya","orcid":"https://orcid.org/0009-0008-9648-6354"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sakyajit Bhattacharya","raw_affiliation_strings":["TCS Research, Kolkata, India"],"raw_orcid":"https://orcid.org/0009-0008-9648-6354","affiliations":[{"raw_affiliation_string":"TCS Research, Kolkata, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006404753","display_name":"Arnab Chatterjee","orcid":"https://orcid.org/0000-0001-8639-0115"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arnab Chatterjee","raw_affiliation_strings":["TCS Research, Delhi, India"],"raw_orcid":"https://orcid.org/0000-0001-8639-0115","affiliations":[{"raw_affiliation_string":"TCS Research, Delhi, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013973948","display_name":"Avik Ghose","orcid":"https://orcid.org/0000-0002-0733-7082"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Avik Ghose","raw_affiliation_strings":["TCS Research, Kolkata, India"],"raw_orcid":"https://orcid.org/0000-0002-0733-7082","affiliations":[{"raw_affiliation_string":"TCS Research, Kolkata, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.361,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72420617,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"19","last_page":"24"},"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":0.9988999962806702,"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":0.9988999962806702,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.995199978351593,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9926999807357788,"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/imputation","display_name":"Imputation (statistics)","score":0.8198943138122559},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7680225372314453},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.6472873687744141},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.530906081199646},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5169534087181091},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5131459832191467},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.508834183216095},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.46344637870788574},{"id":"https://openalex.org/keywords/semantic-data-model","display_name":"Semantic data model","score":0.4397013187408447},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.4376918375492096},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.43507885932922363},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.41814643144607544},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41289907693862915},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.4126739203929901},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.4064592719078064},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37207508087158203},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34723615646362305},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10750982165336609}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.8198943138122559},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7680225372314453},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.6472873687744141},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.530906081199646},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5169534087181091},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5131459832191467},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.508834183216095},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.46344637870788574},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.4397013187408447},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.4376918375492096},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.43507885932922363},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.41814643144607544},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41289907693862915},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.4126739203929901},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.4064592719078064},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37207508087158203},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34723615646362305},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10750982165336609},{"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/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3597061.3597260","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3597061.3597260","pdf_url":"https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F3597061.3597260&file=p19-kumari-supp.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th Workshop on Body-Centric Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3597061.3597260","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3597061.3597260","pdf_url":"https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F3597061.3597260&file=p19-kumari-supp.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th Workshop on Body-Centric Computing Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4380928271.pdf","grobid_xml":"https://content.openalex.org/works/W4380928271.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W1862394037","https://openalex.org/W1964461063","https://openalex.org/W2012084072","https://openalex.org/W2064186732","https://openalex.org/W2096555119","https://openalex.org/W2168685189","https://openalex.org/W2295598076","https://openalex.org/W2766738555","https://openalex.org/W2770915439","https://openalex.org/W2788114581","https://openalex.org/W2893116530","https://openalex.org/W2900766759","https://openalex.org/W4231839630"],"related_works":["https://openalex.org/W4211215373","https://openalex.org/W3217094455","https://openalex.org/W2989589450","https://openalex.org/W3119637569","https://openalex.org/W2405773734","https://openalex.org/W2791189374","https://openalex.org/W3123325766","https://openalex.org/W2898623405","https://openalex.org/W2374234271","https://openalex.org/W2077274087"],"abstract_inverted_index":{"Sensor-equipped":[0],"wearable":[1],"devices":[2],"are":[3],"becoming":[4],"increasingly":[5],"popular":[6],"in":[7],"the":[8,95],"healthcare":[9],"industry,":[10],"with":[11,14,34],"some":[12],"equipped":[13],"GPS":[15],"and":[16,32,76,85],"Proximity":[17],"sensors":[18],"as":[19,62,64],"well.":[20],"Raw":[21],"(GPS)":[22],"trajectories":[23],"obtained":[24],"through":[25],"human-centric":[26],"systems":[27],"like":[28,46],"body":[29],"worn":[30],"senors,":[31],"enriched":[33],"semantic":[35,73,80],"annotations":[36],"generate":[37],"huge":[38],"actionable":[39],"insights":[40],"for":[41,71,82],"downstream":[42],"domain":[43],"specific":[44],"applications":[45],"epidemic":[47],"risk":[48],"modeling.":[49],"However,":[50],"trajectory":[51,74,100],"data":[52,56],"suffer":[53],"from":[54],"missing":[55],"problem":[57],"owing":[58],"to":[59],"various":[60],"technical":[61],"well":[63],"behavioral":[65],"factors.":[66],"Our":[67],"paper":[68],"shows":[69],"that,":[70],"a":[72,88],"dataset":[75],"using":[77],"coarse":[78],"grain":[79],"location":[81],"both":[83],"prediction":[84],"imputation":[86,101],"purposes,":[87],"simple":[89],"ensemble":[90],"classifier-based":[91],"model":[92],"can":[93],"outperform":[94],"existing":[96],"deep":[97],"models":[98],"where":[99],"is":[102],"almost":[103],"real-time":[104],"delay.":[105]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
