{"id":"https://openalex.org/W2995309139","doi":"https://doi.org/10.1108/ijcs-09-2019-0023","title":"Knowledge discovery in sociological databases","display_name":"Knowledge discovery in sociological databases","publication_year":2019,"publication_date":"2019-09-02","ids":{"openalex":"https://openalex.org/W2995309139","doi":"https://doi.org/10.1108/ijcs-09-2019-0023","mag":"2995309139"},"language":"en","primary_location":{"id":"doi:10.1108/ijcs-09-2019-0023","is_oa":true,"landing_page_url":"https://doi.org/10.1108/ijcs-09-2019-0023","pdf_url":null,"source":{"id":"https://openalex.org/S4210199319","display_name":"International Journal of Crowd Science","issn_l":"2398-7294","issn":["2398-7294"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Crowd Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1108/ijcs-09-2019-0023","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021942394","display_name":"Zhiwen Pan","orcid":"https://orcid.org/0000-0002-7266-7264"},"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/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiwen Pan","raw_affiliation_strings":["Institute of Computing Technology Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026065713","display_name":"Jiangtian Li","orcid":"https://orcid.org/0000-0002-4607-342X"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangtian Li","raw_affiliation_strings":["High School Affiliated to Renmin University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"High School Affiliated to Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008558592","display_name":"Yiqiang Chen","orcid":"https://orcid.org/0000-0002-8407-0780"},"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/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiqiang Chen","raw_affiliation_strings":["Institute of Computing Technology Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074633812","display_name":"Jes\u00fas Pacheco","orcid":"https://orcid.org/0000-0002-8636-5902"},"institutions":[{"id":"https://openalex.org/I4061448","display_name":"Universidad de Sonora","ror":"https://ror.org/00c32gy34","country_code":"MX","type":"education","lineage":["https://openalex.org/I4061448"]},{"id":"https://openalex.org/I4210088102","display_name":"Universidad de Hermosillo","ror":"https://ror.org/0019g1982","country_code":"MX","type":"education","lineage":["https://openalex.org/I4210088102"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Jesus Pacheco","raw_affiliation_strings":["Universidad de Sonora, Hermosillo, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de Sonora, Hermosillo, Mexico","institution_ids":["https://openalex.org/I4210088102","https://openalex.org/I4061448"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071921270","display_name":"Lianjun Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093999","display_name":"Jinan Disabled Persons Federation","ror":"https://ror.org/01f2r3t53","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210093999"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianjun Dai","raw_affiliation_strings":["Information Centre of China Disabled Persons' Federation, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Centre of China Disabled Persons' Federation, Beijing, China","institution_ids":["https://openalex.org/I4210093999"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100400217","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0001-7835-9871"},"institutions":[{"id":"https://openalex.org/I4210093999","display_name":"Jinan Disabled Persons Federation","ror":"https://ror.org/01f2r3t53","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210093999"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["Information Centre of China Disabled Persons' Federation, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Centre of China Disabled Persons' Federation, Beijing, China","institution_ids":["https://openalex.org/I4210093999"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5021942394"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.27729373,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3","issue":"3","first_page":"315","last_page":"332"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11239","display_name":"Social Capital and Networks","score":0.9039000272750854,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11239","display_name":"Social Capital and Networks","score":0.9039000272750854,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.719668447971344},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.7179915308952332},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6803748607635498},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5747870802879333},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5518609881401062},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5408483147621155},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5001130104064941},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.49340787529945374},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.42599207162857056},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4199044108390808},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.41085463762283325},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22961431741714478},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20483249425888062},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17640402913093567}],"concepts":[{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.719668447971344},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7179915308952332},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6803748607635498},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5747870802879333},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5518609881401062},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5408483147621155},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5001130104064941},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.49340787529945374},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.42599207162857056},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4199044108390808},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.41085463762283325},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22961431741714478},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20483249425888062},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17640402913093567},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1108/ijcs-09-2019-0023","is_oa":true,"landing_page_url":"https://doi.org/10.1108/ijcs-09-2019-0023","pdf_url":null,"source":{"id":"https://openalex.org/S4210199319","display_name":"International Journal of Crowd Science","issn_l":"2398-7294","issn":["2398-7294"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Crowd Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:cbcfdbe542cb46ee9117f97a9f72d8f1","is_oa":true,"landing_page_url":"https://doaj.org/article/cbcfdbe542cb46ee9117f97a9f72d8f1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Crowd Science, Vol 3, Iss 3, Pp 315-332 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1108/ijcs-09-2019-0023","is_oa":true,"landing_page_url":"https://doi.org/10.1108/ijcs-09-2019-0023","pdf_url":null,"source":{"id":"https://openalex.org/S4210199319","display_name":"International Journal of Crowd Science","issn_l":"2398-7294","issn":["2398-7294"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Crowd Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1569305942","https://openalex.org/W2001082095","https://openalex.org/W2023015110","https://openalex.org/W2048231652","https://openalex.org/W2048337104","https://openalex.org/W2051834357","https://openalex.org/W2060542593","https://openalex.org/W2106907606","https://openalex.org/W2135046866","https://openalex.org/W2158933803","https://openalex.org/W2168056525","https://openalex.org/W2403894961","https://openalex.org/W2743198957","https://openalex.org/W2772314939","https://openalex.org/W2991930857","https://openalex.org/W4210844912","https://openalex.org/W6712950441","https://openalex.org/W6746309382","https://openalex.org/W6770816024"],"related_works":["https://openalex.org/W2901826185","https://openalex.org/W2742521120","https://openalex.org/W2891888580","https://openalex.org/W3119296476","https://openalex.org/W2159392828","https://openalex.org/W2353586736","https://openalex.org/W2215544391","https://openalex.org/W2189235061","https://openalex.org/W2061985295","https://openalex.org/W2353590449"],"abstract_inverted_index":{"Purpose":[0],"The":[1,47,86],"General":[2,229],"Society":[3],"Survey(GSS)":[4],"is":[5,29],"a":[6,73,94,97,117,219],"kind":[7],"of":[8,19,23,33,106,168,208,243],"government-funded":[9],"survey":[10],"which":[11,101,121],"aims":[12],"at":[13,236],"examining":[14],"the":[15,34,38,66,104,127,151,154,166,176,186,190,206,212,237,241],"Socio-economic":[16],"status,":[17],"quality":[18,105],"life,":[20],"and":[21,40,61,77,113,142,172],"structure":[22],"contemporary":[24],"society.":[25],"GSS":[26,52,82,107,161,187],"data":[27,53,68,75,78,83,98,108,118,128,132,162,177,188,195,209,232],"set":[28,54,129,163,233],"regarded":[30],"as":[31],"one":[32],"authoritative":[35],"source":[36],"for":[37,51,81],"government":[39],"organization":[41],"practitioners":[42],"to":[43,90,147,239],"make":[44],"data-driven":[45],"policies.":[46],"previous":[48],"analytic":[49],"approaches":[50],"are":[55,88,234],"designed":[56,89],"by":[57,109,130,193],"combining":[58],"expert":[59],"knowledges":[60],"simple":[62],"statistics.":[63],"By":[64,204],"utilizing":[65],"emerging":[67],"mining":[69,79,119,133,178,196,210],"algorithms,":[70],"we":[71],"proposed":[72,213],"comprehensive":[74],"management":[76,99],"approach":[80,87,214],"sets.":[84],"Design/methodology/approach":[85],"be":[91],"operated":[92],"in":[93,218],"two-phase":[95],"manner:":[96],"phase":[100,120],"can":[102,122,164,180,198,215],"improve":[103],"performing":[110,131],"attribute":[111,115,158],"pre-processing":[112],"filter-based":[114],"selection;":[116],"extract":[123,182],"hidden":[124,183],"knowledge":[125,184,191,217],"from":[126,185],"analysis":[134,141,171,179,197],"including":[135],"prediction":[136],"analysis,":[137,139],"classification":[138,170],"association":[140],"clustering":[143,173],"analysis.":[144],"Findings":[145],"According":[146],"experimental":[148],"evaluation":[149],"results,":[150],"paper":[152],"have":[153],"following":[155],"findings:":[156],"Performing":[157],"selection":[159],"on":[160,227],"increase":[165],"performance":[167,242],"both":[169],"analysis;":[174],"all":[175],"effectively":[181],"set;":[189],"generated":[192],"different":[194],"somehow":[199],"cross-validate":[200],"each":[201],"other.":[202],"Originality/value":[203],"leveraging":[205],"power":[207],"techniques,":[211],"explore":[216],"fine-grained":[220],"manner":[221],"with":[222],"minimum":[223],"human":[224],"interference.":[225],"Experiments":[226],"Chinese":[228],"Social":[230],"Survey":[231],"conducted":[235],"end":[238],"evaluate":[240],"our":[244],"approach.":[245]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2019-12-26T00:00:00"}