{"id":"https://openalex.org/W2085791189","doi":"https://doi.org/10.1109/smc.2014.6974024","title":"Correcting abnormalities in meteorological data by machine learning","display_name":"Correcting abnormalities in meteorological data by machine learning","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2085791189","doi":"https://doi.org/10.1109/smc.2014.6974024","mag":"2085791189"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2014.6974024","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2014.6974024","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5101432988","display_name":"Min\u2010Ki Lee","orcid":"https://orcid.org/0000-0002-9674-9838"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Min-Ki Lee","raw_affiliation_strings":["School of Computer Science and Engineering, Seoul National University, Korea","[School of Computer Science & Engineering, Seoul National University, Korea]"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Seoul National University, Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"[School of Computer Science & Engineering, Seoul National University, Korea]","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041653964","display_name":"Seung\u2010Hyun Moon","orcid":"https://orcid.org/0000-0002-3922-3995"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seung-Hyun Moon","raw_affiliation_strings":["School of Computer Science and Engineering, Seoul National University, Korea","[School of Computer Science & Engineering, Seoul National University, Korea]"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Seoul National University, Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"[School of Computer Science & Engineering, Seoul National University, Korea]","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046031351","display_name":"Yong-Hyuk Kim","orcid":"https://orcid.org/0000-0002-0492-0889"},"institutions":[{"id":"https://openalex.org/I161024014","display_name":"Kwangwoon University","ror":"https://ror.org/02e9zc863","country_code":"KR","type":"education","lineage":["https://openalex.org/I161024014"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yong-Hyuk Kim","raw_affiliation_strings":["Department of Computer Science and Engineering, Kwangwoon University, Seoul, Korea","Dept. of Computer Science and Engineering, Kwangwoon University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Kwangwoon University, Seoul, Korea","institution_ids":["https://openalex.org/I161024014"]},{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Kwangwoon University, Seoul, Korea","institution_ids":["https://openalex.org/I161024014"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022911578","display_name":"Byung-Ro Moon","orcid":"https://orcid.org/0000-0002-4968-2159"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byung-Ro Moon","raw_affiliation_strings":["School of Computer Science and Engineering, Seoul National University, Korea","[School of Computer Science & Engineering, Seoul National University, Korea]"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Seoul National University, Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"[School of Computer Science & Engineering, Seoul National University, Korea]","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101432988"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":1.4561,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.81735597,"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":"888","last_page":"893"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9959999918937683,"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"}},"topics":[{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9959999918937683,"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/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.972100019454956,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9635000228881836,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.7625340819358826},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6486450433731079},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4963701367378235},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46679171919822693},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4318371117115021},{"id":"https://openalex.org/keywords/weather-forecasting","display_name":"Weather forecasting","score":0.4311540126800537},{"id":"https://openalex.org/keywords/automatic-weather-station","display_name":"Automatic weather station","score":0.42629244923591614},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4122036099433899},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.23403719067573547},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14620709419250488},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0815594494342804},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.06739184260368347}],"concepts":[{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.7625340819358826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6486450433731079},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4963701367378235},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46679171919822693},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4318371117115021},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.4311540126800537},{"id":"https://openalex.org/C2779395273","wikidata":"https://www.wikidata.org/wiki/Q846837","display_name":"Automatic weather station","level":2,"score":0.42629244923591614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4122036099433899},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.23403719067573547},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14620709419250488},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0815594494342804},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.06739184260368347},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2014.6974024","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2014.6974024","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1184224807","https://openalex.org/W1513339763","https://openalex.org/W1663792126","https://openalex.org/W1761010383","https://openalex.org/W1970074386","https://openalex.org/W1982348007","https://openalex.org/W2010069926","https://openalex.org/W2012079387","https://openalex.org/W2017798320","https://openalex.org/W2071583824","https://openalex.org/W2103496339","https://openalex.org/W2123737232","https://openalex.org/W2125055259","https://openalex.org/W2133990480","https://openalex.org/W2168312814","https://openalex.org/W2171837103","https://openalex.org/W2766736793","https://openalex.org/W3123794082","https://openalex.org/W4230674625","https://openalex.org/W4236137412","https://openalex.org/W4238403844","https://openalex.org/W4239510810","https://openalex.org/W4246196322","https://openalex.org/W4285719527","https://openalex.org/W4312960235","https://openalex.org/W6630843438","https://openalex.org/W6678449394","https://openalex.org/W6678557583","https://openalex.org/W6685579720","https://openalex.org/W7038755397"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W4285260836","https://openalex.org/W3046775127","https://openalex.org/W3170094116","https://openalex.org/W4205958290","https://openalex.org/W4385151843"],"abstract_inverted_index":{"Meteorological":[0],"data":[1,28,92],"collected":[2],"from":[3,107],"automatic":[4],"weather":[5,96,128],"stations":[6],"have":[7],"played":[8],"an":[9],"important":[10],"role":[11],"in":[12,26,33,104],"forecasting":[13],"and":[14,55,89,132],"analyzing":[15],"a":[16],"large":[17],"variety":[18],"of":[19,81,85,93],"phenomena.":[20],"However,":[21],"abnormal":[22,43],"values":[23,120],"are":[24],"abundant":[25],"meteorological":[27],"due":[29],"to":[30,41,109],"manifold":[31],"faults":[32],"observation":[34],"systems.":[35],"In":[36],"this":[37],"paper,":[38],"we":[39],"attempt":[40],"recover":[42],"values.":[44],"We":[45],"present":[46],"three":[47],"estimation":[48,60],"models":[49,75],"based":[50],"on":[51],"machine":[52],"learning":[53],"techniques":[54],"compare":[56],"them":[57],"with":[58],"traditional":[59],"methods,":[61,66],"interpolations.":[62],"Unlike":[63],"the":[64,70,73,77,82,86,90,94,115,123,133],"interpolation":[65,124],"which":[67],"use":[68],"only":[69],"target":[71,87,119],"attribute,":[72],"proposed":[74,116],"utilize":[76],"additional":[78,134],"information":[79,135],"consisting":[80],"associated":[83],"attributes":[84],"station":[88],"relevant":[91],"neighbor":[95],"stations.":[97],"Experiments":[98],"were":[99],"conducted":[100],"for":[101,126],"692":[102],"locations":[103],"South":[105],"Korea":[106],"2007":[108],"2012.":[110],"The":[111],"results":[112],"showed":[113],"that":[114],"approaches":[117],"estimated":[118],"better":[121,138],"than":[122],"methods":[125],"all":[127],"elements":[129],"except":[130],"one":[131],"helped":[136],"achieve":[137],"performance.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
