{"id":"https://openalex.org/W4408256843","doi":"https://doi.org/10.1145/3716376","title":"Cost-effective Missing Value Imputation for Data-effective Machine Learning","display_name":"Cost-effective Missing Value Imputation for Data-effective Machine Learning","publication_year":2025,"publication_date":"2025-03-08","ids":{"openalex":"https://openalex.org/W4408256843","doi":"https://doi.org/10.1145/3716376"},"language":"en","primary_location":{"id":"doi:10.1145/3716376","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3716376","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3716376","source":{"id":"https://openalex.org/S90119964","display_name":"ACM Transactions on Database Systems","issn_l":"0362-5915","issn":["0362-5915","1557-4644"],"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 Database Systems","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/10.1145/3716376","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054869135","display_name":"Chengliang Chai","orcid":"https://orcid.org/0009-0003-5386-1330"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I202334528","display_name":"Beijing Electronic Science and Technology Institute","ror":"https://ror.org/01xdzh226","country_code":"CN","type":"education","lineage":["https://openalex.org/I202334528"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chengliang Chai","raw_affiliation_strings":["Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I202334528","https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113881881","display_name":"Kaisen Jin","orcid":"https://orcid.org/0009-0004-7020-5404"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I202334528","display_name":"Beijing Electronic Science and Technology Institute","ror":"https://ror.org/01xdzh226","country_code":"CN","type":"education","lineage":["https://openalex.org/I202334528"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaisen Jin","raw_affiliation_strings":["Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I202334528","https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101824160","display_name":"Nan Tang","orcid":"https://orcid.org/0000-0003-2832-0295"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Nan Tang","raw_affiliation_strings":["Computer Scisence and Technology, HKUST (GZ), Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Computer Scisence and Technology, HKUST (GZ), Guangzhou, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100739546","display_name":"Ju Fan","orcid":"https://orcid.org/0000-0003-4729-9903"},"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":"Ju Fan","raw_affiliation_strings":["Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089467202","display_name":"Dongjing Miao","orcid":"https://orcid.org/0000-0001-9370-7088"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongjing Miao","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092212559","display_name":"Jiayi Wang","orcid":"https://orcid.org/0000-0002-9700-9751"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayi Wang","raw_affiliation_strings":["Computer Secience and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Computer Secience and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100614732","display_name":"Yuyu Luo","orcid":"https://orcid.org/0000-0001-9530-3327"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuyu Luo","raw_affiliation_strings":["HKUST(GZ), Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"HKUST(GZ), Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100451576","display_name":"Guoliang Li","orcid":"https://orcid.org/0000-0002-1398-0621"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoliang Li","raw_affiliation_strings":["Computer Science, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Computer Science, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030900096","display_name":"Ye Yuan","orcid":"https://orcid.org/0000-0002-6282-6057"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Yuan","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054991337","display_name":"Guoren Wang","orcid":"https://orcid.org/0000-0002-0181-8379"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoren Wang","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5054869135"],"corresponding_institution_ids":["https://openalex.org/I125839683","https://openalex.org/I202334528"],"apc_list":null,"apc_paid":null,"fwci":5.2247,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.94397023,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"50","issue":"3","first_page":"1","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9980000257492065,"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"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8754837512969971},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.7673908472061157},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.7416815161705017},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4309292435646057},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42189300060272217},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4093397855758667}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8754837512969971},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.7673908472061157},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.7416815161705017},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4309292435646057},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42189300060272217},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4093397855758667}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3716376","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3716376","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3716376","source":{"id":"https://openalex.org/S90119964","display_name":"ACM Transactions on Database Systems","issn_l":"0362-5915","issn":["0362-5915","1557-4644"],"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 Database Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3716376","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3716376","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3716376","source":{"id":"https://openalex.org/S90119964","display_name":"ACM Transactions on Database Systems","issn_l":"0362-5915","issn":["0362-5915","1557-4644"],"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 Database Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4408256843.pdf"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W650854417","https://openalex.org/W1498291970","https://openalex.org/W1568668329","https://openalex.org/W1781481323","https://openalex.org/W1972711404","https://openalex.org/W1977185509","https://openalex.org/W1977556410","https://openalex.org/W1985239372","https://openalex.org/W1985258161","https://openalex.org/W1995875735","https://openalex.org/W2064186732","https://openalex.org/W2077518845","https://openalex.org/W2102720558","https://openalex.org/W2136667596","https://openalex.org/W2143698439","https://openalex.org/W2145065594","https://openalex.org/W2164187405","https://openalex.org/W2251590347","https://openalex.org/W2272842178","https://openalex.org/W2396309311","https://openalex.org/W2402007731","https://openalex.org/W2548122763","https://openalex.org/W2776050171","https://openalex.org/W2788592841","https://openalex.org/W2897574832","https://openalex.org/W2943501111","https://openalex.org/W2951565755","https://openalex.org/W2952029797","https://openalex.org/W2997919412","https://openalex.org/W3034856749","https://openalex.org/W3035623224","https://openalex.org/W3095809828","https://openalex.org/W3105982656","https://openalex.org/W3113682753","https://openalex.org/W3147796863","https://openalex.org/W3168317725","https://openalex.org/W3176502563","https://openalex.org/W4205204813","https://openalex.org/W4243565423","https://openalex.org/W4245179829","https://openalex.org/W4250589301","https://openalex.org/W4283367762","https://openalex.org/W4292070111","https://openalex.org/W4293210185","https://openalex.org/W4312929313","https://openalex.org/W4361793154","https://openalex.org/W4381329328","https://openalex.org/W4385567975","https://openalex.org/W4396601766","https://openalex.org/W4398234860","https://openalex.org/W4399163438","https://openalex.org/W4399208200","https://openalex.org/W4404181101","https://openalex.org/W6778804409"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W2055961818","https://openalex.org/W2903115227","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W2081476516","https://openalex.org/W2581984549"],"abstract_inverted_index":{"Given":[0],"a":[1,10,24,49,54,162,222,250],"dataset":[2],"with":[3,168,225,261,277],"incomplete":[4,16,117,130,146,166,189,262],"data":[5,17,30,36,59,70,131,147,167,263],"(e.g.,":[6],"missing":[7],"values),":[8],"training":[9,205],"machine":[11,136],"learning":[12],"model":[13,40,76,108,144,172],"over":[14,129,165],"the":[15,29,35,39,43,58,64,68,72,82,99,103,124,145,157,173,179,188,211,258,270],"requires":[18,23,48],"two":[19],"steps.":[20],"First,":[21],"it":[22,47],"data-effective":[25,133],"step":[26,51],"that":[27,52,63,238],"cleans":[28],"in":[31,78],"order":[32,79],"to":[33,80,97,143,255],"improve":[34],"quality":[37,41],"(and":[38],"on":[42,67,192],"cleaned":[44],"data).":[45],"Second,":[46],"data-efficient":[50,135],"selects":[53,196],"core":[55],"subset":[56],"of":[57,85,126,181,187,274],"(called":[60],"coreset)":[61],"such":[62],"trained":[65],"models":[66],"entire":[69],"and":[71,134,220,272],"coreset":[73,115,127,164,200,214,259],"have":[74,106],"similar":[75],"quality,":[77,109],"save":[81],"computational":[83],"cost":[84],"training.":[86],"The":[87,138],"first-data-effective-then-data-efficient":[88],"methods":[89,105,237],"are":[90,95],"too":[91],"costly,":[92],"because":[93,110],"they":[94,111],"expensive":[96],"clean":[98],"whole":[100],"data;":[101],"while":[102],"first-data-efficient-then-data-effective":[104],"low":[107,169,278],"cannot":[112],"select":[113],"high-quality":[114,150],"for":[116,132,148],"data.":[118,190],"In":[119],"this":[120,153],"article,":[121],"we":[122,155,177,234],"investigate":[123],"problem":[125],"selection":[128,215,260],"learning.":[137],"essential":[139],"challenge":[140],"is":[141,253],"how":[142],"selecting":[149,161],"coreset.":[151],"To":[152,171,229],"end,":[154],"propose":[156,221,235],"GoodCore":[158,195,231],"framework":[159,276],"towards":[160],"good":[163],"cost.":[170,279],"unknown":[174],"complete":[175],"data,":[176],"utilize":[178],"combinations":[180],"possible":[182,185,193],"repairs":[183],"as":[184],"worlds":[186],"Based":[191],"worlds,":[194],"an":[197,226],"expected":[198,212],"optimal":[199,213],"through":[201],"gradient":[202],"approximation":[203,227],"without":[204],"ML":[206],"models.":[207],"We":[208],"formally":[209],"define":[210],"problem,":[216],"prove":[217],"its":[218],"NP-hardness,":[219],"greedy":[223],"algorithm":[224],"ratio.":[228],"make":[230],"more":[232],"efficient,":[233],"optimization":[236],"incorporate":[239],"human-in-the-loop":[240],"imputation":[241,244],"or":[242],"automatic":[243],"method":[245],"into":[246],"our":[247,275],"framework.":[248],"Moreover,":[249],"group-based":[251],"strategy":[252],"utilized":[254],"further":[256],"accelerate":[257],"given":[264],"large":[265],"datasets.":[266],"Experimental":[267],"results":[268],"show":[269],"effectiveness":[271],"efficiency":[273]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
