{"id":"https://openalex.org/W4391514782","doi":"https://doi.org/10.1145/3643890","title":"Fair Feature Selection: A Causal Perspective","display_name":"Fair Feature Selection: A Causal Perspective","publication_year":2024,"publication_date":"2024-02-03","ids":{"openalex":"https://openalex.org/W4391514782","doi":"https://doi.org/10.1145/3643890"},"language":"en","primary_location":{"id":"doi:10.1145/3643890","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3643890","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3643890","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3643890","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088982563","display_name":"Zhaolong Ling","orcid":"https://orcid.org/0000-0003-4812-6676"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaolong Ling","raw_affiliation_strings":["Anhui University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4812-6676","affiliations":[{"raw_affiliation_string":"Anhui University, Beijing, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013901800","display_name":"Enqi Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enqi Xu","raw_affiliation_strings":["Anhui University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0004-4068-8126","affiliations":[{"raw_affiliation_string":"Anhui University, Beijing, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004080941","display_name":"Peng Zhou","orcid":"https://orcid.org/0000-0002-3675-4985"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhou","raw_affiliation_strings":["Anhui University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3675-4985","affiliations":[{"raw_affiliation_string":"Anhui University, Beijing, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016197750","display_name":"Liang Du","orcid":"https://orcid.org/0000-0002-3294-5071"},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Du","raw_affiliation_strings":["School of Computer and Information Technology, Shanxi University, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0002-3294-5071","affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Shanxi University, Taiyuan, China","institution_ids":["https://openalex.org/I181877577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100719462","display_name":"Kui Yu","orcid":"https://orcid.org/0000-0003-2442-4572"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kui Yu","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data (the Ministry of Education of China), and the School of Computer Science and Information Technology, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-2442-4572","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data (the Ministry of Education of China), and the School of Computer Science and Information Technology, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080738591","display_name":"Xindong Wu","orcid":"https://orcid.org/0000-0003-2396-1704"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xindong Wu","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data (the Ministry of Education of China), and the School of Computer Science and Information Technology, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-2396-1704","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data (the Ministry of Education of China), and the School of Computer Science and Information Technology, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.6244,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.96110941,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"18","issue":"7","first_page":"1","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.932699978351593,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.8282345533370972},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6670923829078674},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6139485836029053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6023012399673462},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5657744407653809},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5281833410263062},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5107927322387695},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5023627281188965},{"id":"https://openalex.org/keywords/markov-blanket","display_name":"Markov blanket","score":0.4925909638404846},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.475589394569397},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4539106786251068},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43876758217811584},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.413915753364563},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36118870973587036},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.2972033619880676},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1703917384147644},{"id":"https://openalex.org/keywords/variable-order-markov-model","display_name":"Variable-order Markov model","score":0.11571642756462097}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.8282345533370972},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6670923829078674},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6139485836029053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6023012399673462},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5657744407653809},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5281833410263062},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5107927322387695},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5023627281188965},{"id":"https://openalex.org/C123867240","wikidata":"https://www.wikidata.org/wiki/Q3001792","display_name":"Markov blanket","level":5,"score":0.4925909638404846},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.475589394569397},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4539106786251068},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43876758217811584},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.413915753364563},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36118870973587036},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.2972033619880676},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1703917384147644},{"id":"https://openalex.org/C54907487","wikidata":"https://www.wikidata.org/wiki/Q7915688","display_name":"Variable-order Markov model","level":4,"score":0.11571642756462097},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3643890","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3643890","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3643890","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3643890","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3643890","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3643890","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.8100000023841858}],"awards":[{"id":"https://openalex.org/G1128271767","display_name":null,"funder_award_id":"62120106008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3133715941","display_name":null,"funder_award_id":"U1936220","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4473816824","display_name":null,"funder_award_id":"62376087","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5894356128","display_name":null,"funder_award_id":"62176001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6120589624","display_name":null,"funder_award_id":"62306002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6687479257","display_name":null,"funder_award_id":"U1936220","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7198377615","display_name":null,"funder_award_id":"2021ZD0111801","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G745675364","display_name":null,"funder_award_id":"62306002, 62176001, 62376087, 62120106008, and U1936220","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391514782.pdf","grobid_xml":"https://content.openalex.org/works/W4391514782.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1933380","https://openalex.org/W1583837637","https://openalex.org/W1805699599","https://openalex.org/W1956343362","https://openalex.org/W1971790785","https://openalex.org/W2013374740","https://openalex.org/W2031779765","https://openalex.org/W2059141064","https://openalex.org/W2100960835","https://openalex.org/W2116984840","https://openalex.org/W2129564794","https://openalex.org/W2133091666","https://openalex.org/W2136217680","https://openalex.org/W2143891888","https://openalex.org/W2159080219","https://openalex.org/W2161205483","https://openalex.org/W2324228145","https://openalex.org/W2482943584","https://openalex.org/W2530395818","https://openalex.org/W2584805976","https://openalex.org/W2619567144","https://openalex.org/W2732098159","https://openalex.org/W2738456714","https://openalex.org/W2753845591","https://openalex.org/W2948130259","https://openalex.org/W2963174898","https://openalex.org/W2980507899","https://openalex.org/W2987343382","https://openalex.org/W3093329511","https://openalex.org/W3135608507","https://openalex.org/W3181414820","https://openalex.org/W3187449459","https://openalex.org/W4210736086","https://openalex.org/W4214835294","https://openalex.org/W4248700314","https://openalex.org/W4255761846","https://openalex.org/W4282574503","https://openalex.org/W4285223209","https://openalex.org/W4289258088","https://openalex.org/W4293875341","https://openalex.org/W4295946216","https://openalex.org/W4302423442","https://openalex.org/W4380364502","https://openalex.org/W4388553381","https://openalex.org/W6640850671","https://openalex.org/W6728551298","https://openalex.org/W7014198846"],"related_works":["https://openalex.org/W2123587139","https://openalex.org/W49111948","https://openalex.org/W4386564352","https://openalex.org/W2952668426","https://openalex.org/W4206306045","https://openalex.org/W2307705085","https://openalex.org/W3186106104","https://openalex.org/W3023326395","https://openalex.org/W23237351","https://openalex.org/W2159351263"],"abstract_inverted_index":{"Fair":[0],"feature":[1,17,42,53,104],"selection":[2,18,54,105],"for":[3,83],"classification":[4],"decision":[5],"tasks":[6],"has":[7,98],"recently":[8],"garnered":[9],"significant":[10],"attention":[11],"from":[12],"researchers.":[13],"However,":[14],"existing":[15],"fair":[16,41,51,85],"algorithms":[19,106],"fall":[20],"short":[21],"of":[22,27,40,71,80],"providing":[23],"a":[24,50,62],"full":[25],"explanation":[26],"the":[28,38,68,78],"causal":[29,52,64,86],"relationship":[30],"between":[31],"features":[32],"and":[33,73],"sensitive":[34,74,81],"attributes,":[35],"potentially":[36],"impacting":[37],"accuracy":[39,99],"identification.":[43],"To":[44],"address":[45],"this":[46],"issue,":[47],"we":[48],"propose":[49],"algorithm,":[55],"called":[56],"FairCFS":[57,60,97],".":[58],"Specifically,":[59],"constructs":[61],"localized":[63],"graph":[65],"that":[66,96],"identifies":[67],"Markov":[69],"blankets":[70],"class":[72],"variables,":[75],"to":[76,101],"block":[77],"transmission":[79],"information":[82],"selecting":[84],"features.":[87],"Extensive":[88],"experiments":[89],"on":[90],"seven":[91],"public":[92],"real-world":[93],"datasets":[94],"validate":[95],"comparable":[100],"eight":[102],"state-of-the-art":[103],"while":[107],"presenting":[108],"more":[109],"superior":[110],"fairness.":[111]},"counts_by_year":[{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}