{"id":"https://openalex.org/W2967734314","doi":"https://doi.org/10.1145/3341069.3342976","title":"Application of Improved KNN Algorithm in Air Quality Assessment","display_name":"Application of Improved KNN Algorithm in Air Quality Assessment","publication_year":2019,"publication_date":"2019-06-22","ids":{"openalex":"https://openalex.org/W2967734314","doi":"https://doi.org/10.1145/3341069.3342976","mag":"2967734314"},"language":"en","primary_location":{"id":"doi:10.1145/3341069.3342976","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341069.3342976","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd High Performance Computing and Cluster Technologies Conference","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/A5100562564","display_name":"Ruijun Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I67001856","display_name":"Shanghai Institute of Technology","ror":"https://ror.org/00fjzqj15","country_code":"CN","type":"education","lineage":["https://openalex.org/I67001856"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Rui-jun","raw_affiliation_strings":["Shanghai Institute of Technology, SIT, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Institute of Technology, SIT, Shanghai, China","institution_ids":["https://openalex.org/I67001856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011269584","display_name":"Ding Dan-feng","orcid":null},"institutions":[{"id":"https://openalex.org/I67001856","display_name":"Shanghai Institute of Technology","ror":"https://ror.org/00fjzqj15","country_code":"CN","type":"education","lineage":["https://openalex.org/I67001856"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ding Dan-feng","raw_affiliation_strings":["Shanghai Institute of Technology, SIT, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Institute of Technology, SIT, Shanghai, China","institution_ids":["https://openalex.org/I67001856"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027316988","display_name":"Yan Feng","orcid":"https://orcid.org/0000-0003-4436-1126"},"institutions":[{"id":"https://openalex.org/I67001856","display_name":"Shanghai Institute of Technology","ror":"https://ror.org/00fjzqj15","country_code":"CN","type":"education","lineage":["https://openalex.org/I67001856"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Feng","raw_affiliation_strings":["Shanghai Institute of Technology, SIT, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Institute of Technology, SIT, Shanghai, China","institution_ids":["https://openalex.org/I67001856"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100562564"],"corresponding_institution_ids":["https://openalex.org/I67001856"],"apc_list":null,"apc_paid":null,"fwci":0.5588,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.64744001,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"108","last_page":"112"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9962000250816345,"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":0.9962000250816345,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.7199150323867798},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7116969227790833},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6236087679862976},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6219629645347595},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5939582586288452},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5793710947036743},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48991650342941284},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48309043049812317},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46510323882102966},{"id":"https://openalex.org/keywords/air-quality-index","display_name":"Air quality index","score":0.4610172510147095},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.45955216884613037},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4316999912261963},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4297972023487091},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41773349046707153},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.41011476516723633},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13714444637298584}],"concepts":[{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.7199150323867798},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7116969227790833},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6236087679862976},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6219629645347595},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5939582586288452},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5793710947036743},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48991650342941284},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48309043049812317},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46510323882102966},{"id":"https://openalex.org/C126314574","wikidata":"https://www.wikidata.org/wiki/Q2364111","display_name":"Air quality index","level":2,"score":0.4610172510147095},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.45955216884613037},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4316999912261963},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4297972023487091},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41773349046707153},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.41011476516723633},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13714444637298584},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"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:10.1145/3341069.3342976","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341069.3342976","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd High Performance Computing and Cluster Technologies Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.7400000095367432,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2574646402","https://openalex.org/W2583647741","https://openalex.org/W2791257043"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W138569904","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3092506759","https://openalex.org/W3010890513","https://openalex.org/W2390914021","https://openalex.org/W2389417819","https://openalex.org/W3195278891"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,37,111],"solve":[3],"the":[4,34,39,44,53,59,63,67,71,76,96,112,117],"problem":[5],"of":[6,31,41,52,62,86,106,121],"low":[7,10],"accuracy":[8,105,118],"and":[9,50,57,83,119,125],"efficiency":[11,120],"in":[12,28,33,43,75,130],"air":[13,87,102,122,132],"quality":[14,88,103,123],"detection,":[15],"this":[16],"paper":[17],"proposes":[18],"an":[19,81,101],"improved":[20,97],"KNN":[21,78,98],"algorithm.":[22,79],"Firstly,":[23],"Cluster":[24],"processing":[25],"is":[26,55,89,109],"performed":[27],"different":[29],"categories":[30],"samples":[32],"data":[35,42,54],"set":[36],"reduce":[38],"amount":[40],"experimental":[45,92],"sample.":[46],"Then":[47],"feature":[48],"selection":[49,73],"preprocessing":[51],"performed,":[56],"determine":[58],"optimal":[60],"parameters":[61],"model":[64],"based":[65],"on":[66],"grid":[68],"search,":[69],"improving":[70],"k-value":[72],"strategy":[74],"original":[77],"Finally":[80],"accurate":[82],"rapid":[84],"assessment":[85],"achieved.":[90],"The":[91],"results":[93],"show":[94],"that":[95],"algorithm":[99],"has":[100],"evaluation":[104],"94.53%,":[107],"which":[108],"superior":[110],"traditional":[113],"algorithm,":[114],"it":[115],"improves":[116],"evaluation,":[124],"plays":[126],"a":[127],"certain":[128],"role":[129],"analyzing":[131],"quality.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
