{"id":"https://openalex.org/W2217228805","doi":"https://doi.org/10.1109/bigdata.2015.7363850","title":"Smog disaster forecasting using social web data and physical sensor data","display_name":"Smog disaster forecasting using social web data and physical sensor data","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2217228805","doi":"https://doi.org/10.1109/bigdata.2015.7363850","mag":"2217228805"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2015.7363850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2015.7363850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 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/A5101985190","display_name":"Jiaoyan Chen","orcid":"https://orcid.org/0000-0001-8423-555X"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiaoyan Chen","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102018239","display_name":"Huajun Chen","orcid":"https://orcid.org/0000-0001-5496-7442"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huajun Chen","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102159232","display_name":"Daning Hu","orcid":"https://orcid.org/0000-0003-4086-3364"},"institutions":[{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Daning Hu","raw_affiliation_strings":["Department of Informatics, University of Zurich, Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, University of Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I202697423"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066422711","display_name":"Jeff Z. Pan","orcid":"https://orcid.org/0000-0002-9779-2088"},"institutions":[{"id":"https://openalex.org/I195460627","display_name":"University of Aberdeen","ror":"https://ror.org/016476m91","country_code":"GB","type":"education","lineage":["https://openalex.org/I195460627"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jeff Z. Pan","raw_affiliation_strings":["Department of Computing Science, The University of Aberdeen, Aberdeen, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Computing Science, The University of Aberdeen, Aberdeen, United Kingdom","institution_ids":["https://openalex.org/I195460627"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102238070","display_name":"Yalin Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yalin Zhou","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101985190"],"corresponding_institution_ids":["https://openalex.org/I168879160"],"apc_list":null,"apc_paid":null,"fwci":1.5896,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.82712223,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"991","last_page":"998"},"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":0.9948999881744385,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/computer-science","display_name":"Computer science","score":0.6477749347686768},{"id":"https://openalex.org/keywords/beijing","display_name":"Beijing","score":0.6380344033241272},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6181701421737671},{"id":"https://openalex.org/keywords/air-quality-index","display_name":"Air quality index","score":0.5208778381347656},{"id":"https://openalex.org/keywords/air-pollution","display_name":"Air pollution","score":0.516892671585083},{"id":"https://openalex.org/keywords/emergency-management","display_name":"Emergency management","score":0.4896683990955353},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.4701635539531708},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4461890459060669},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.19969487190246582},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.19628342986106873},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12209978699684143},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11768263578414917}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6477749347686768},{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.6380344033241272},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6181701421737671},{"id":"https://openalex.org/C126314574","wikidata":"https://www.wikidata.org/wiki/Q2364111","display_name":"Air quality index","level":2,"score":0.5208778381347656},{"id":"https://openalex.org/C559116025","wikidata":"https://www.wikidata.org/wiki/Q131123","display_name":"Air pollution","level":2,"score":0.516892671585083},{"id":"https://openalex.org/C62555980","wikidata":"https://www.wikidata.org/wiki/Q1460420","display_name":"Emergency management","level":2,"score":0.4896683990955353},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4701635539531708},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4461890459060669},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.19969487190246582},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.19628342986106873},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12209978699684143},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11768263578414917},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2015.7363850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2015.7363850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.7200000286102295,"display_name":"Climate action"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W172072979","https://openalex.org/W1605688901","https://openalex.org/W1670132599","https://openalex.org/W1743243001","https://openalex.org/W1971402834","https://openalex.org/W1992179289","https://openalex.org/W2000064279","https://openalex.org/W2001494901","https://openalex.org/W2009329344","https://openalex.org/W2045817497","https://openalex.org/W2047720565","https://openalex.org/W2056930182","https://openalex.org/W2063629454","https://openalex.org/W2073779771","https://openalex.org/W2074537813","https://openalex.org/W2077587655","https://openalex.org/W2100235303","https://openalex.org/W2111072639","https://openalex.org/W2112869689","https://openalex.org/W2138260443","https://openalex.org/W2147298215","https://openalex.org/W2157539394","https://openalex.org/W2158698691","https://openalex.org/W2162885406","https://openalex.org/W2391899160","https://openalex.org/W4249535109","https://openalex.org/W4312808911","https://openalex.org/W6636883489","https://openalex.org/W6637805623"],"related_works":["https://openalex.org/W2108274885","https://openalex.org/W2799423116","https://openalex.org/W3123974110","https://openalex.org/W2991488401","https://openalex.org/W1603912562","https://openalex.org/W3080344894","https://openalex.org/W4318499393","https://openalex.org/W2066546759","https://openalex.org/W2733363865","https://openalex.org/W2082703639"],"abstract_inverted_index":{"Smog":[0],"disaster":[1,95,122,149,249],"is":[2,30,104],"a":[3,31,114,147,177],"type":[4],"of":[5,47,50,61,90,100,146,211,225,239],"air":[6,62,158],"pollution":[7,159],"event":[8],"that":[9,24,140],"negatively":[10],"affects":[11],"people's":[12,69],"life":[13],"and":[14,56,157,163,186,198,219,221],"health.":[15],"Forecasting":[16],"smog":[17,35,82,94,121,148,248],"disasters":[18,36],"may":[19,26],"largely":[20],"reduce":[21],"potential":[22],"loss":[23],"they":[25],"cause.":[27],"However,":[28],"it":[29,72,231],"great":[32],"challenge":[33],"since":[34],"are":[37],"often":[38],"caused":[39],"by":[40],"many":[41],"complex":[42],"factors.":[43],"With":[44],"the":[45,53,88,98,138,142,172,209,223,226,236],"availability":[46],"huge":[48],"amounts":[49],"data":[51,79,116,134],"from":[52,132],"social":[54,65,91,101],"web":[55],"physical":[57],"sensors,":[58],"covering":[59],"information":[60],"quality,":[63],"meteorology,":[64],"event,":[66],"human":[67,153],"mobility,":[68,154],"opinion,":[70],"etc.,":[71],"becomes":[73],"possible":[74],"to":[75,80,136,203],"utilize":[76],"such":[77],"big":[78,115],"forecast":[81],"disasters.":[83],"Especially,":[84],"we":[85,112,175],"can":[86,199,242],"investigate":[87],"effect":[89],"activities":[92],"in":[93,106,168,195,217,247],"forecasting":[96],"with":[97,165,232],"help":[99],"web,":[102],"which":[103,191],"ignored":[105],"traditional":[107],"studies.":[108],"In":[109],"this":[110,196],"paper,":[111],"propose":[113,176],"approach":[117],"named":[118],"B-Smog":[119,212],"for":[120],"forecasting.":[123],"It":[124],"mainly":[125],"has":[126],"two":[127,214],"components:":[128],"1)":[129],"features":[130,167],"extraction":[131],"multiple":[133,169],"sources":[135],"model":[137,179,228],"factors":[139],"indicate":[141],"appearance":[143],"or":[144],"disappearance":[145],"like":[150],"traffic":[151],"condition,":[152],"weather":[155],"condition":[156],"transportation;":[160],"2)":[161],"learning":[162,184],"predicting":[164],"heterogeneous":[166],"views.":[170],"For":[171],"second":[173],"component,":[174],"prediction":[178,227],"based":[180],"on":[181],"an":[182],"ensemble":[183],"framework":[185],"artificial":[187],"neural":[188],"networks":[189],"(ANNs),":[190],"achieves":[192],"high":[193],"accuracy":[194,224],"application":[197],"also":[200,243],"be":[201],"applied":[202],"other":[204],"similar":[205],"problems.":[206],"We":[207],"present":[208],"effectiveness":[210],"through":[213,229],"cases":[215],"studies":[216],"Beijing":[218],"Shanghai,":[220],"evaluate":[222],"comparing":[230],"some":[233],"baselines.":[234],"Moreover,":[235],"empirical":[237],"findings":[238],"our":[240],"study":[241],"support":[244],"decision":[245],"making":[246],"management.":[250]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
