{"id":"https://openalex.org/W2080113704","doi":"https://doi.org/10.1109/icnc.2010.5583921","title":"Support vector machine based classification analysis of SARS spatial distribution","display_name":"Support vector machine based classification analysis of SARS spatial distribution","publication_year":2010,"publication_date":"2010-08-01","ids":{"openalex":"https://openalex.org/W2080113704","doi":"https://doi.org/10.1109/icnc.2010.5583921","mag":"2080113704"},"language":"en","primary_location":{"id":"doi:10.1109/icnc.2010.5583921","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2010.5583921","pdf_url":null,"source":{"id":"https://openalex.org/S4363608012","display_name":"2010 Sixth International Conference on Natural Computation","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Sixth International Conference on Natural Computation","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":null,"display_name":"Bisong Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bisong Hu","raw_affiliation_strings":["Geography and Environment Department, Jiangxi Normal University, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"Geography and Environment Department, Jiangxi Normal University, Nanchang, China","institution_ids":["https://openalex.org/I53592917"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108012185","display_name":"Jianhua Gong","orcid":"https://orcid.org/0000-0003-3875-8792"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Gong","raw_affiliation_strings":["Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China","Institute of Remote Sensing Applications, Chinese Academy of Sciences Beijing China"],"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Remote Sensing Applications, Chinese Academy of Sciences Beijing China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I53592917"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.24390244,"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":"924","last_page":"927"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9672999978065491,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12368","display_name":"Grey System Theory Applications","score":0.9017999768257141,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bivariate-analysis","display_name":"Bivariate analysis","score":0.7233988046646118},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6643948554992676},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6022548675537109},{"id":"https://openalex.org/keywords/mainland-china","display_name":"Mainland China","score":0.5578266978263855},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.519504189491272},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48788976669311523},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.47118309140205383},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.46471723914146423},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.44697391986846924},{"id":"https://openalex.org/keywords/spatial-distribution","display_name":"Spatial distribution","score":0.43352752923965454},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4112722873687744},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.40917539596557617},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3937221169471741},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.3507955074310303},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34953731298446655},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.33312365412712097},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27497607469558716},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20152103900909424}],"concepts":[{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.7233988046646118},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6643948554992676},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6022548675537109},{"id":"https://openalex.org/C107029721","wikidata":"https://www.wikidata.org/wiki/Q19188","display_name":"Mainland China","level":3,"score":0.5578266978263855},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.519504189491272},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48788976669311523},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.47118309140205383},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.46471723914146423},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.44697391986846924},{"id":"https://openalex.org/C2777016058","wikidata":"https://www.wikidata.org/wiki/Q7574061","display_name":"Spatial distribution","level":2,"score":0.43352752923965454},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4112722873687744},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.40917539596557617},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3937221169471741},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.3507955074310303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34953731298446655},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.33312365412712097},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27497607469558716},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20152103900909424},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc.2010.5583921","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2010.5583921","pdf_url":null,"source":{"id":"https://openalex.org/S4363608012","display_name":"2010 Sixth International Conference on Natural Computation","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Sixth International Conference on Natural Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2020365323","https://openalex.org/W2105807304","https://openalex.org/W2129648876","https://openalex.org/W2156909104","https://openalex.org/W2165786774","https://openalex.org/W2379760643","https://openalex.org/W2391884804"],"related_works":["https://openalex.org/W2029664475","https://openalex.org/W2348190688","https://openalex.org/W2359234221","https://openalex.org/W2348078813","https://openalex.org/W2375543237","https://openalex.org/W2414855069","https://openalex.org/W3030744205","https://openalex.org/W2355701312","https://openalex.org/W2349780717","https://openalex.org/W2386235238"],"abstract_inverted_index":{"Support":[0],"Vector":[1],"Machine":[2],"has":[3,129],"been":[4],"applied":[5],"for":[6,27,52,57,93],"the":[7,37,53,84,123,137,143],"research":[8],"of":[9,30,44,60,125,139],"disease":[10],"symptom":[11],"diagnosis":[12],"and":[13,17,20,41,83,88,97,106,110,128,151],"epidemic":[14,31,121,141],"spread":[15],"prediction,":[16],"its":[18],"effective":[19],"precise":[21],"classification":[22,58],"function":[23],"could":[24],"be":[25],"used":[26],"clustering":[28,127],"analysis":[29,59,76],"spatial":[32,62,126],"distribution.":[33],"Several":[34],"indices":[35],"reflecting":[36],"environmental,":[38,107,148],"social,":[39,108,149],"economic":[40,109,150],"traffic":[42,111,152],"conditions":[43,153],"provinces":[45,144],"in":[46,64,81,147],"mainland":[47],"China":[48],"synthetically":[49],"were":[50,71,91,113],"selected":[51,85],"fundamental":[54],"training":[55],"data":[56,70,87],"SARS":[61,78,89,104,120,140],"distribution":[63],"this":[65],"paper.":[66],"The":[67,101,116],"original":[68],"index":[69,86],"sifted":[72],"by":[73],"bivariate":[74],"correlation":[75],"with":[77,132,145],"cases":[79,90],"distributed":[80],"provinces,":[82],"normalized":[92],"faster":[94],"convergence":[95],"speed":[96],"higher":[98],"predictive":[99],"precision.":[100],"relationship":[102],"between":[103],"occurrence":[105],"factors":[112],"searched":[114],"eventually.":[115],"results":[117],"show":[118],"that":[119],"indicates":[122],"characteristic":[124],"strong":[130],"relationships":[131],"those":[133],"typical":[134],"factors.":[135],"During":[136],"process":[138],"spread,":[142],"similarities":[146],"indicate":[154],"some":[155],"certain":[156],"consistencies":[157],"more":[158],"or":[159],"less.":[160]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2025-10-10T00:00:00"}