{"id":"https://openalex.org/W1969865391","doi":"https://doi.org/10.1145/2783258.2788573","title":"Forecasting Fine-Grained Air Quality Based on Big Data","display_name":"Forecasting Fine-Grained Air Quality Based on Big Data","publication_year":2015,"publication_date":"2015-08-07","ids":{"openalex":"https://openalex.org/W1969865391","doi":"https://doi.org/10.1145/2783258.2788573","mag":"1969865391"},"language":"en","primary_location":{"id":"doi:10.1145/2783258.2788573","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2783258.2788573","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100681023","display_name":"Yu Zheng","orcid":"https://orcid.org/0000-0002-5224-4344"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Yu Zheng","raw_affiliation_strings":["Microsoft Research, Beijing, China","Microsoft Research, , Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft Research, , Beijing, China","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013889855","display_name":"Xiuwen Yi","orcid":"https://orcid.org/0000-0003-2703-6794"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuwen Yi","raw_affiliation_strings":["Southwest Jiaotong University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100614355","display_name":"Ming Li","orcid":"https://orcid.org/0000-0002-1097-3119"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Ming Li","raw_affiliation_strings":["Microsoft Research, Beijing, China","Microsoft Research, , Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft Research, , Beijing, China","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109067573","display_name":"Ruiyuan Li","orcid":"https://orcid.org/0000-0002-6481-0657"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiyuan Li","raw_affiliation_strings":["Wuhan University, Wuhan, China","Wuhan University, Wuhan China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Wuhan University, Wuhan China#TAB#","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091681012","display_name":"Zhangqing Shan","orcid":"https://orcid.org/0000-0002-8978-8214"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhangqing Shan","raw_affiliation_strings":["Fudan University, Shanghai, China","Fudan University Shanghai, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Fudan University Shanghai, China#TAB#","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087298985","display_name":"Eric Chang","orcid":"https://orcid.org/0000-0002-9678-5994"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Eric Chang","raw_affiliation_strings":["Microsoft Research, Beijing, China","Microsoft Research, , Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft Research, , Beijing, China","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070559820","display_name":"Tianrui Li","orcid":"https://orcid.org/0000-0001-7780-104X"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianrui Li","raw_affiliation_strings":["Southwest Jiaotong University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":73.1656,"has_fulltext":false,"cited_by_count":476,"citation_normalized_percentile":{"value":1.0,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2267","last_page":"2276"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9998000264167786,"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":0.9998000264167786,"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":0.993399977684021,"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":0.9789999723434448,"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/air-quality-index","display_name":"Air quality index","score":0.7676029205322266},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5274515151977539},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4894613027572632},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.4502989649772644},{"id":"https://openalex.org/keywords/news-aggregator","display_name":"News aggregator","score":0.4106314182281494},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3348950743675232},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.18014651536941528}],"concepts":[{"id":"https://openalex.org/C126314574","wikidata":"https://www.wikidata.org/wiki/Q2364111","display_name":"Air quality index","level":2,"score":0.7676029205322266},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5274515151977539},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4894613027572632},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.4502989649772644},{"id":"https://openalex.org/C180505990","wikidata":"https://www.wikidata.org/wiki/Q498267","display_name":"News aggregator","level":2,"score":0.4106314182281494},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3348950743675232},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.18014651536941528},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2783258.2788573","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2783258.2788573","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W140193802","https://openalex.org/W1971402834","https://openalex.org/W1974540239","https://openalex.org/W2003831290","https://openalex.org/W2032576386","https://openalex.org/W2040678502","https://openalex.org/W2049070055","https://openalex.org/W2112738128","https://openalex.org/W2153458569","https://openalex.org/W2157539394","https://openalex.org/W2460539703","https://openalex.org/W4252523328"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3036238356","https://openalex.org/W2767445978","https://openalex.org/W2603387358","https://openalex.org/W2570892890","https://openalex.org/W3092831610","https://openalex.org/W2012785328","https://openalex.org/W3035307268","https://openalex.org/W2806201687","https://openalex.org/W4317914702"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"forecast":[4,152],"the":[5,14,34,63,84,87,120,132],"reading":[6],"of":[7,33,38,51,66,86,122,135],"an":[8,98],"air":[9,30,67,106,141],"quality":[10,31,142],"monitoring":[11],"station":[12,35],"over":[13],"next":[15],"48":[16],"hours,":[17],"using":[18],"a":[19,42,56,70,80,129],"data-driven":[20],"method":[21],"that":[22,37],"considers":[23],"current":[24],"meteorological":[25,94],"data,":[26,95],"weather":[27],"forecasts,":[28],"and":[29,36,89,96,161,170],"data":[32,113],"other":[39,176],"stations":[40],"within":[41],"few":[43],"hundred":[44],"kilometers.":[45],"Our":[46,166],"predictive":[47],"model":[48,62,76,111],"is":[49,154,168],"comprised":[50],"four":[52,145],"major":[53,146],"components:":[54],"1)":[55],"linear":[57],"regression-based":[58],"temporal":[59,90],"predictor":[60,74,100],"to":[61,75,93,101],"local":[64],"factors":[65],"quality,":[68],"2)":[69],"neural":[71],"network-based":[72],"spatial":[73,88],"global":[77],"factors,":[78],"3)":[79],"dynamic":[81],"aggregator":[82],"combining":[83],"predictions":[85],"predictors":[91],"according":[92],"4)":[97],"inflection":[99],"capture":[102],"sudden":[103],"changes":[104],"in":[105,117],"quality.":[107],"We":[108,126],"evaluate":[109],"our":[110],"with":[112,131],"from":[114],"43":[115],"cities":[116,148],"China,":[118],"surpassing":[119],"results":[121],"multiple":[123],"baseline":[124],"methods.":[125],"have":[127],"deployed":[128],"system":[130],"Chinese":[133,147],"Ministry":[134],"Environmental":[136],"Protection,":[137],"providing":[138],"48-hour":[139],"fine-grained":[140],"forecasts":[143],"for":[144,175],"every":[149],"hour.":[150],"The":[151],"function":[153],"also":[155],"enabled":[156],"on":[157],"Microsoft":[158],"Bing":[159],"Map":[160],"MS":[162],"cloud":[163],"platform":[164],"Azure.":[165],"technology":[167],"general":[169],"can":[171],"be":[172],"applied":[173],"globally":[174],"cities.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":20},{"year":2025,"cited_by_count":43},{"year":2024,"cited_by_count":46},{"year":2023,"cited_by_count":47},{"year":2022,"cited_by_count":42},{"year":2021,"cited_by_count":62},{"year":2020,"cited_by_count":55},{"year":2019,"cited_by_count":61},{"year":2018,"cited_by_count":47},{"year":2017,"cited_by_count":27},{"year":2016,"cited_by_count":25},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}