{"id":"https://openalex.org/W2888316004","doi":"https://doi.org/10.1109/saci.2018.8440981","title":"CLEMI-Imputation Evaluation","display_name":"CLEMI-Imputation Evaluation","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2888316004","doi":"https://doi.org/10.1109/saci.2018.8440981","mag":"2888316004"},"language":"en","primary_location":{"id":"doi:10.1109/saci.2018.8440981","is_oa":false,"landing_page_url":"https://doi.org/10.1109/saci.2018.8440981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5064147658","display_name":"Anthony Chapman","orcid":null},"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":"Anthony Chapman","raw_affiliation_strings":["Computing Department University of Aberdeen, Aberdeen, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computing Department University of Aberdeen, Aberdeen, UK","institution_ids":["https://openalex.org/I195460627"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081644845","display_name":"Wei Pang","orcid":"https://orcid.org/0000-0002-1761-6659"},"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":"Wei Pang","raw_affiliation_strings":["Computing Department University of Aberdeen, Aberdeen, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computing Department University of Aberdeen, Aberdeen, UK","institution_ids":["https://openalex.org/I195460627"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082375941","display_name":"George M. Coghill","orcid":"https://orcid.org/0000-0002-2047-8277"},"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":"George Coghill","raw_affiliation_strings":["Computing Department University of Aberdeen, Aberdeen, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computing Department University of Aberdeen, Aberdeen, UK","institution_ids":["https://openalex.org/I195460627"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I195460627"],"apc_list":null,"apc_paid":null,"fwci":0.5447,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.69175627,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"27708","issue":null,"first_page":"000373","last_page":"000378"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9976999759674072,"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"}},"topics":[{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9976999759674072,"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"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9890000224113464,"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":0.9879000186920166,"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/imputation","display_name":"Imputation (statistics)","score":0.8853799104690552},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7649028897285461},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.7236025333404541},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5268236994743347},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.49510207772254944},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.44031721353530884},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4243132174015045},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33747410774230957},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09185194969177246}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.8853799104690552},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7649028897285461},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.7236025333404541},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5268236994743347},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.49510207772254944},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.44031721353530884},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4243132174015045},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33747410774230957},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09185194969177246},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/saci.2018.8440981","is_oa":false,"landing_page_url":"https://doi.org/10.1109/saci.2018.8440981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W321726205","https://openalex.org/W1573823453","https://openalex.org/W1983869977","https://openalex.org/W2009432182","https://openalex.org/W2011910938","https://openalex.org/W2047671141","https://openalex.org/W2057777484","https://openalex.org/W2065488235","https://openalex.org/W2065974896","https://openalex.org/W2069746097","https://openalex.org/W2082368581","https://openalex.org/W2082801347","https://openalex.org/W2092991821","https://openalex.org/W2094895169","https://openalex.org/W2096555119","https://openalex.org/W2100358124","https://openalex.org/W2105559915","https://openalex.org/W2116814040","https://openalex.org/W2124732843","https://openalex.org/W2134843796","https://openalex.org/W2141019052","https://openalex.org/W2151779605","https://openalex.org/W2156267802","https://openalex.org/W2163930361","https://openalex.org/W2165178997","https://openalex.org/W2258698375","https://openalex.org/W2284799688","https://openalex.org/W2328297508","https://openalex.org/W2510090379","https://openalex.org/W2568123413","https://openalex.org/W2579898249","https://openalex.org/W2616561001","https://openalex.org/W2739478426","https://openalex.org/W3102147710","https://openalex.org/W3121409315","https://openalex.org/W4256250088","https://openalex.org/W6682706280","https://openalex.org/W6695557146"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W2055961818","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W3028371478","https://openalex.org/W2081476516","https://openalex.org/W2581984549"],"abstract_inverted_index":{"Missing":[0],"data":[1,86,100],"is":[2],"challenging":[3],"enough":[4],"without":[5],"the":[6,24,79,134],"added":[7],"complexities":[8],"posed":[9],"by":[10,42,69],"a":[11,71,90,94,107],"lack":[12],"of":[13,28,136],"research":[14,64],"in":[15],"evaluating":[16],"imputation.":[17],"Not":[18],"only":[19],"could":[20,74,128],"we":[21,38,81],"potentially":[22],"increase":[23],"impact":[25],"and":[26,36,53,101],"validity":[27],"studies":[29],"from":[30],"many":[31],"different":[32],"sectors":[33],"(research,":[34],"public":[35],"private),":[37],"also":[39],"believe":[40],"that":[41],"creating":[43],"evaluation":[44,68],"software,":[45],"more":[46],"researchers":[47],"may":[48],"be":[49,75,129],"willing":[50],"to":[51,61,77,85,97,105],"use":[52],"justify":[54],"using":[55],"imputation":[56,67],"methods.":[57],"This":[58],"paper":[59],"aims":[60],"encourage":[62],"further":[63],"for":[65,110,119,131],"efficient":[66],"defining":[70],"framework":[72,91],"which":[73,92,116],"used":[76,130],"optimise":[78],"way":[80],"impute":[82],"datasets":[83],"prior":[84],"analysis.":[87],"We":[88],"propose":[89],"uses":[93],"prototypical":[95],"approach":[96],"create":[98,106],"testing":[99],"machine":[102],"learning":[103],"methods":[104],"new":[108],"metric":[109],"evaluation.":[111],"Preliminary":[112],"results":[113],"are":[114],"presented":[115],"show":[117],"how,":[118],"our":[120],"dataset,":[121],"records":[122],"with":[123],"less":[124],"than":[125],"40%":[126],"missingness":[127],"analysis,":[132],"increasing":[133],"amount":[135],"available":[137],"data.":[138]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}