{"id":"https://openalex.org/W3009883208","doi":"https://doi.org/10.1109/icspcs47537.2019.9008645","title":"Empirical Analysis of Tree-Based Models for PM<sub>2.5</sub> Concentration Prediction","display_name":"Empirical Analysis of Tree-Based Models for PM<sub>2.5</sub> Concentration Prediction","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3009883208","doi":"https://doi.org/10.1109/icspcs47537.2019.9008645","mag":"3009883208"},"language":"en","primary_location":{"id":"doi:10.1109/icspcs47537.2019.9008645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcs47537.2019.9008645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 13th International Conference on Signal Processing and Communication Systems (ICSPCS)","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/A5021597250","display_name":"Juhyun Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Juhyun Lee","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea","institution_ids":["https://openalex.org/I39534123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032140738","display_name":"Yoojin Hong","orcid":"https://orcid.org/0000-0002-4966-9974"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yoojin Hong","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea","institution_ids":["https://openalex.org/I39534123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023927549","display_name":"Younkwan Lee","orcid":"https://orcid.org/0000-0001-5622-3383"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Younkwan Lee","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea","institution_ids":["https://openalex.org/I39534123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100438951","display_name":"Hyun Soo Kim","orcid":"https://orcid.org/0000-0002-1787-3129"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyun Soo Kim","raw_affiliation_strings":["School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology (GIST)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology (GIST)","institution_ids":["https://openalex.org/I39534123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081154054","display_name":"Chul Han Song","orcid":"https://orcid.org/0000-0001-9237-4285"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chul Han Song","raw_affiliation_strings":["School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology (GIST)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology (GIST)","institution_ids":["https://openalex.org/I39534123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020848196","display_name":"Du Yong Kim","orcid":"https://orcid.org/0000-0001-6882-2324"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Du Yong Kim","raw_affiliation_strings":["School of Engineering, RMIT University, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056743652","display_name":"Moongu Jeon","orcid":"https://orcid.org/0000-0002-2775-7789"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Moongu Jeon","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea","institution_ids":["https://openalex.org/I39534123"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3436,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.60971524,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9998999834060669,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9998999834060669,"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/T10190","display_name":"Air Quality and Health Impacts","score":0.9987000226974487,"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/T12095","display_name":"Vehicle emissions and performance","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"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/mean-squared-error","display_name":"Mean squared error","score":0.6534019112586975},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.6519469618797302},{"id":"https://openalex.org/keywords/air-quality-index","display_name":"Air quality index","score":0.5534011125564575},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.541318416595459},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5164371132850647},{"id":"https://openalex.org/keywords/air-pollution","display_name":"Air pollution","score":0.5092850923538208},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5087223649024963},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.40245839953422546},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3710736632347107},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35205212235450745},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2708524465560913},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.13021603226661682}],"concepts":[{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6534019112586975},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.6519469618797302},{"id":"https://openalex.org/C126314574","wikidata":"https://www.wikidata.org/wiki/Q2364111","display_name":"Air quality index","level":2,"score":0.5534011125564575},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.541318416595459},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5164371132850647},{"id":"https://openalex.org/C559116025","wikidata":"https://www.wikidata.org/wiki/Q131123","display_name":"Air pollution","level":2,"score":0.5092850923538208},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5087223649024963},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.40245839953422546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3710736632347107},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35205212235450745},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2708524465560913},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.13021603226661682},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icspcs47537.2019.9008645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcs47537.2019.9008645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 13th International Conference on Signal Processing and Communication Systems (ICSPCS)","raw_type":"proceedings-article"},{"id":"pmh:oai:alma.61RMIT_INST:11273352090001341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ICSPCS47537.2019.9008645","pdf_url":null,"source":{"id":"https://openalex.org/S4306402074","display_name":"RMIT Research Repository (RMIT University Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82951845","host_organization_name":"RMIT University","host_organization_lineage":["https://openalex.org/I82951845"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W182782170","https://openalex.org/W209050710","https://openalex.org/W1554944419","https://openalex.org/W1678356000","https://openalex.org/W1874641121","https://openalex.org/W2001503353","https://openalex.org/W2009521953","https://openalex.org/W2113242816","https://openalex.org/W2219293789","https://openalex.org/W2295598076","https://openalex.org/W2586821431","https://openalex.org/W2768348081","https://openalex.org/W2774595919","https://openalex.org/W2787894218","https://openalex.org/W2791081216","https://openalex.org/W2911964244","https://openalex.org/W2912934387","https://openalex.org/W2914477964","https://openalex.org/W2935732100","https://openalex.org/W2946902716","https://openalex.org/W2963019093","https://openalex.org/W3102476541","https://openalex.org/W4212883601","https://openalex.org/W6607386153","https://openalex.org/W6732989325","https://openalex.org/W6745609711","https://openalex.org/W6763444142"],"related_works":["https://openalex.org/W2991488401","https://openalex.org/W1603912562","https://openalex.org/W3080344894","https://openalex.org/W4318499393","https://openalex.org/W2082703639","https://openalex.org/W2066546759","https://openalex.org/W2733363865","https://openalex.org/W2295152223","https://openalex.org/W2512873846","https://openalex.org/W2120024962"],"abstract_inverted_index":{"Air":[0,147],"pollution":[1],"is":[2,25,40,150],"an":[3],"important":[4,41],"issue":[5],"that":[6,114,128,162],"directly":[7],"affects":[8],"human":[9],"health.":[10],"In":[11,53],"particular,":[12],"the":[13,19,32,44,78,100,129,137,144,154,163,171,179],"particulate":[14],"matter":[15],"(PM),":[16],"one":[17],"of":[18,22,47,77,136,176,183],"major":[20],"components":[21],"air":[23],"pollution,":[24],"produced":[26],"by":[27,99,132,143],"automobiles":[28],"and":[29,65,92,124,139,178],"factories.":[30],"As":[31],"global":[33],"interest":[34],"in":[35],"PM":[36,48,69],"concentration":[37],"increases,":[38],"it":[39],"to":[42,67,85,88,94],"improve":[43],"prediction":[45,130],"accuracy":[46],"<sub":[49,70],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[50,71],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2.5</sub>":[51,72],"concentration.":[52,73],"this":[54],"paper,":[55],"we":[56,108,126],"utilize":[57],"treebased":[58],"models":[59,116,169],"such":[60],"as":[61],"random":[62],"forests,":[63],"XGBoost,":[64],"LightGBM":[66],"predict":[68],"Despite":[74],"promising":[75],"results":[76,160],"tree-based":[79,168],"models,":[80],"there":[81],"are":[82],"challenging":[83],"issues":[84],"solve:":[86],"how":[87,93],"handle":[89],"missing":[90,111,121],"values":[91],"use":[95],"output":[96,140],"data":[97,112,135,141,156],"predicted":[98,142],"existing":[101],"mathematical":[102],"model.":[103],"To":[104],"tackle":[105],"these":[106],"issues,":[107],"exclude":[109],"all":[110],"so":[113],"training":[115],"do":[117],"not":[118],"require":[119],"sophisticated":[120],"value":[122],"processing,":[123],"also":[125],"show":[127,161],"performance":[131],"using":[133,153],"concatenated":[134],"observation":[138,155],"Community":[145],"Multiscale":[146],"Quality":[148],"model":[149,165],"better":[151],"than":[152],"only.":[157],"The":[158],"experimental":[159],"XGBoost":[164],"outperforms":[166],"other":[167],"with":[170],"root":[172],"mean":[173,180],"square":[174],"error":[175,182],"13.4977":[177],"absolute":[181],"10.1392.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2020-03-13T00:00:00"}
