{"id":"https://openalex.org/W2783927686","doi":"https://doi.org/10.1109/bigdata.2017.8257965","title":"Low-rank singular value thresholding for recovering missing air quality data","display_name":"Low-rank singular value thresholding for recovering missing air quality data","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2783927686","doi":"https://doi.org/10.1109/bigdata.2017.8257965","mag":"2783927686"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2017.8257965","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2017.8257965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Data (Big Data)","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/A5033283207","display_name":"Yangwen Yu","orcid":"https://orcid.org/0000-0001-9513-878X"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Yangwen Yu","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, The University of Hong Kong Pokfulam, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, The University of Hong Kong Pokfulam, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076130415","display_name":"James J. Q. Yu","orcid":"https://orcid.org/0000-0002-6392-6711"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"James J.Q. Yu","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, The University of Hong Kong Pokfulam, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, The University of Hong Kong Pokfulam, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056877599","display_name":"Victor O. K. Li","orcid":"https://orcid.org/0000-0002-1380-9445"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Victor O. K. Li","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, The University of Hong Kong Pokfulam, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, The University of Hong Kong Pokfulam, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048232137","display_name":"Jacqueline C. K. Lam","orcid":"https://orcid.org/0000-0002-8805-3574"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jacqueline C. K. Lam","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, The University of Hong Kong Pokfulam, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, The University of Hong Kong Pokfulam, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5033283207"],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":1.0228,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.74931665,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"508","last_page":"513"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10190","display_name":"Air Quality and Health Impacts","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10190","display_name":"Air Quality and Health Impacts","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11692","display_name":"Noise Effects and Management","score":0.9765999913215637,"subfield":{"id":"https://openalex.org/subfields/3616","display_name":"Speech and Hearing"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.8652725219726562},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6309056878089905},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6235803365707397},{"id":"https://openalex.org/keywords/matrix-completion","display_name":"Matrix completion","score":0.5682737827301025},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5052827000617981},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.4958222806453705},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.4726777672767639},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4670473635196686},{"id":"https://openalex.org/keywords/air-quality-index","display_name":"Air quality index","score":0.4666576087474823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24182915687561035},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.190342515707016},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18749329447746277},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18721002340316772},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.10696136951446533},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0927799642086029}],"concepts":[{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.8652725219726562},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6309056878089905},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6235803365707397},{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.5682737827301025},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5052827000617981},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.4958222806453705},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.4726777672767639},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4670473635196686},{"id":"https://openalex.org/C126314574","wikidata":"https://www.wikidata.org/wiki/Q2364111","display_name":"Air quality index","level":2,"score":0.4666576087474823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24182915687561035},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.190342515707016},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18749329447746277},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18721002340316772},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.10696136951446533},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0927799642086029},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2017.8257965","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2017.8257965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322170","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1485732691","https://openalex.org/W1593916827","https://openalex.org/W1971402834","https://openalex.org/W1993220086","https://openalex.org/W2021042716","https://openalex.org/W2029725686","https://openalex.org/W2049070055","https://openalex.org/W2051096563","https://openalex.org/W2100235918","https://openalex.org/W2103972604","https://openalex.org/W2168452204","https://openalex.org/W2170798597","https://openalex.org/W2611328865","https://openalex.org/W2962829619"],"related_works":["https://openalex.org/W1542224353","https://openalex.org/W1661087619","https://openalex.org/W4380150146","https://openalex.org/W3024870410","https://openalex.org/W2410652950","https://openalex.org/W2116854923","https://openalex.org/W2750730210","https://openalex.org/W2236974868","https://openalex.org/W4283773154","https://openalex.org/W3152273675"],"abstract_inverted_index":{"With":[0],"the":[1,5,30,69,80,87,97,107,133,157,170,176,193],"increasing":[2],"awareness":[3],"of":[4,8,72,91,135,142,148,179],"harmful":[6],"impacts":[7],"urban":[9],"air":[10,12,26,45,73,109,165],"pollution,":[11],"quality":[13,27,46,74,110,166],"monitoring":[14],"stations":[15,24],"have":[16],"been":[17],"deployed":[18],"in":[19,44,192],"many":[20],"metropolitan":[21],"areas.":[22],"These":[23],"provide":[25],"data":[28,39,43,58,150,190],"to":[29,34,78,105,126,131],"public.":[31],"However,":[32],"due":[33],"sampling":[35],"device":[36],"failures":[37],"and":[38,76,119,168],"processing":[40],"errors,":[41],"missing":[42,81,108,149,164,189],"measurements":[47],"is":[48,114,124],"common.":[49],"Data":[50],"integrity":[51],"becomes":[52],"a":[53,140,186],"critical":[54],"challenge":[55],"when":[56],"such":[57],"are":[59],"employed":[60,125],"for":[61,188],"public":[62],"services.":[63],"In":[64],"this":[65],"paper,":[66],"we":[67,84,95,138,174],"investigate":[68,175],"mathematical":[70],"property":[71,90],"measurements,":[75],"attempt":[77],"recover":[79,163],"data.":[82,111],"First,":[83],"empirically":[85],"study":[86,182],"low":[88,98],"rank":[89,99],"these":[92],"measurements.":[93],"Second,":[94],"formulate":[96],"matrix":[100],"completion":[101],"(LRMC)":[102],"optimization":[103],"problem":[104,113],"reconstruct":[106],"The":[112,152],"transformed":[115],"using":[116],"duality":[117],"theory,":[118],"singular":[120],"value":[121],"thresholding":[122],"(SVT)":[123],"develop":[127],"sub-optimal":[128],"solutions.":[129],"Third,":[130],"evaluate":[132],"performance":[134],"our":[136],"methodology,":[137],"conduct":[139],"series":[141],"case":[143],"studies":[144],"including":[145],"different":[146],"types":[147],"patterns.":[151],"simulation":[153],"results":[154],"demonstrate":[155],"that":[156],"proposed":[158],"SVT":[159],"methodology":[160],"can":[161,183],"effectively":[162],"data,":[167],"outperform":[169],"existing":[171],"Interpolation.":[172],"Finally,":[173],"parameter":[177],"sensitivity":[178],"SVT.":[180],"Our":[181],"serve":[184],"as":[185],"guideline":[187],"recovery":[191],"real":[194],"world.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
