{"id":"https://openalex.org/W4376869352","doi":"https://doi.org/10.18280/isi.280221","title":"Single Imputation Using Statistics-Based and K Nearest Neighbor Methods for Numerical Datasets","display_name":"Single Imputation Using Statistics-Based and K Nearest Neighbor Methods for Numerical Datasets","publication_year":2023,"publication_date":"2023-04-30","ids":{"openalex":"https://openalex.org/W4376869352","doi":"https://doi.org/10.18280/isi.280221"},"language":"en","primary_location":{"id":"doi:10.18280/isi.280221","doi":"https://doi.org/10.18280/isi.280221","is_oa":true,"landing_page_url":"https://doi.org/10.18280/isi.280221","pdf_url":"https://iieta.org/download/file/fid/96550","source":{"id":"https://openalex.org/S1757003","display_name":"Ing\u00e9nierie des syst\u00e8mes d information","issn_l":"1633-1311","issn":["1633-1311","2116-7125"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310311056","host_organization_name":"Lavoisier publishing","host_organization_lineage":["https://openalex.org/P4310311056"],"host_organization_lineage_names":["Lavoisier publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ing\u00e9nierie des syst\u00e8mes d information","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://iieta.org/download/file/fid/96550","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069164947","display_name":"Abdul Fadlil","orcid":"https://orcid.org/0000-0002-2302-940X","observed_orcids":["https://orcid.org/0000-0002-2302-940X"]},"institutions":[{"id":"https://openalex.org/I2608206482","display_name":"Universitas Ahmad Dahlan","ror":"https://ror.org/03hn13397","country_code":"ID","type":"education","lineage":["https://openalex.org/I2608206482"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Abdul Fadlil","raw_affiliation_strings":["Department of Electrical Engineering, Industrial Technology, Universitas Ahmad Dahlan, Yogyakarta 55166, Indonesia","Master Program of Informatics, Industrial Technology, Universitas Ahmad Dahlan, Yogyakarta 55166, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Industrial Technology, Universitas Ahmad Dahlan, Yogyakarta 55166, Indonesia","institution_ids":["https://openalex.org/I2608206482"]},{"raw_affiliation_string":"Master Program of Informatics, Industrial Technology, Universitas Ahmad Dahlan, Yogyakarta 55166, Indonesia","institution_ids":["https://openalex.org/I2608206482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100745588","display_name":"Herman Herman","orcid":"https://orcid.org/0000-0002-1869-6195","observed_orcids":["https://orcid.org/0000-0002-1869-6195"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Herman","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5083840489","display_name":"Dikky Praseptian M","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I2608206482","display_name":"Universitas Ahmad Dahlan","ror":"https://ror.org/03hn13397","country_code":"ID","type":"education","lineage":["https://openalex.org/I2608206482"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Dikky Praseptian M","raw_affiliation_strings":["Master Program of Informatics, Industrial Technology, Universitas Ahmad Dahlan, Yogyakarta 55166, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Master Program of Informatics, Industrial Technology, Universitas Ahmad Dahlan, Yogyakarta 55166, Indonesia","institution_ids":["https://openalex.org/I2608206482"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5507,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.8510761,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"28","issue":"2","first_page":"451","last_page":"459"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.7954000234603882,"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":0.7954000234603882,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.13210000097751617,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.010200000368058681,"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/missing-data-imputation","display_name":"missing data imputation","score":0.8610000014305115},{"id":"https://openalex.org/keywords/single-imputation","display_name":"single imputation","score":0.8820000290870667},{"id":"https://openalex.org/keywords/k-nearest-neighbor-imputation","display_name":"k-nearest neighbors imputation","score":0.9319999814033508},{"id":"https://openalex.org/keywords/k-value-selection","display_name":"k-value selection","score":0.6000000238418579},{"id":"https://openalex.org/keywords/imputation-error","display_name":"imputation error","score":0.5770000219345093},{"id":"https://openalex.org/keywords/root-mean-square-error","display_name":"root mean square error","score":0.8799999952316284},{"id":"https://openalex.org/keywords/mean-absolute-percentage-error","display_name":"mean absolute percentage error","score":0.9959999918937683}],"concepts":[{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.6384093761444092},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.5487918257713318},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48819786310195923},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.47885748744010925},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.369903028011322},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34567689895629883},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2952954173088074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2781980037689209},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.16628500819206238}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18280/isi.280221","doi":"https://doi.org/10.18280/isi.280221","is_oa":true,"landing_page_url":"https://doi.org/10.18280/isi.280221","pdf_url":"https://iieta.org/download/file/fid/96550","source":{"id":"https://openalex.org/S1757003","display_name":"Ing\u00e9nierie des syst\u00e8mes d information","issn_l":"1633-1311","issn":["1633-1311","2116-7125"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310311056","host_organization_name":"Lavoisier publishing","host_organization_lineage":["https://openalex.org/P4310311056"],"host_organization_lineage_names":["Lavoisier publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ing\u00e9nierie des syst\u00e8mes d information","raw_type":"journal-article"},{"id":"pmh:oai:eprints.uad.ac.id:43603","doi":null,"is_oa":false,"landing_page_url":"http://eprints.uad.ac.id/43603/1/Korespondensi-AF-Single%20Imputation%20Using%20Statistics-Based%20and%20K%20Nearest%20Neighbor%20Methods%20for%20Numerical%20Datasets.pdf","pdf_url":"http://eprints.uad.ac.id/43603/1/Korespondensi-AF-Single%20Imputation%20Using%20Statistics-Based%20and%20K%20Nearest%20Neighbor%20Methods%20for%20Numerical%20Datasets.pdf","source":{"id":"https://openalex.org/S4306401955","display_name":"Selamat Datang di Repository UAD (Universitas Ahmad Dahlan)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2608206482","host_organization_name":"Universitas Ahmad Dahlan","host_organization_lineage":["https://openalex.org/I2608206482"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"PeerReviewed"}],"best_oa_location":{"id":"doi:10.18280/isi.280221","doi":"https://doi.org/10.18280/isi.280221","is_oa":true,"landing_page_url":"https://doi.org/10.18280/isi.280221","pdf_url":"https://iieta.org/download/file/fid/96550","source":{"id":"https://openalex.org/S1757003","display_name":"Ing\u00e9nierie des syst\u00e8mes d information","issn_l":"1633-1311","issn":["1633-1311","2116-7125"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310311056","host_organization_name":"Lavoisier publishing","host_organization_lineage":["https://openalex.org/P4310311056"],"host_organization_lineage_names":["Lavoisier publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ing\u00e9nierie des syst\u00e8mes d information","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4376869352.pdf","grobid_xml":"https://content.openalex.org/works/W4376869352.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1571935154","https://openalex.org/W1841820628","https://openalex.org/W1977185509","https://openalex.org/W1983479840","https://openalex.org/W2009432182","https://openalex.org/W2031459800","https://openalex.org/W2066274059","https://openalex.org/W2096863518","https://openalex.org/W2117100923","https://openalex.org/W2122111042","https://openalex.org/W2131253665","https://openalex.org/W2162210260","https://openalex.org/W2162772535","https://openalex.org/W2174160981","https://openalex.org/W2237197110","https://openalex.org/W2238461883","https://openalex.org/W2327678559","https://openalex.org/W2510090379","https://openalex.org/W2603718738","https://openalex.org/W2786361040","https://openalex.org/W2892129232","https://openalex.org/W2955443275","https://openalex.org/W2958786037","https://openalex.org/W3105481493","https://openalex.org/W3107712254","https://openalex.org/W3126204265","https://openalex.org/W4206970110","https://openalex.org/W4245588985","https://openalex.org/W4285794683"],"related_works":["https://openalex.org/W7001479874","https://openalex.org/W7005915236","https://openalex.org/W4379932453","https://openalex.org/W4293261928","https://openalex.org/W7096678661","https://openalex.org/W2967771611","https://openalex.org/W2371614921","https://openalex.org/W2955443275","https://openalex.org/W2370991673","https://openalex.org/W4285101841"],"abstract_inverted_index":{"Handling":[0],"missing":[1,14,63],"values":[2,15],"is":[3,8,43,50,123,150,164,170],"often":[4,48,54],"an":[5],"unavoidable":[6],"problem.Imputation":[7],"a":[9],"preferred":[10],"option":[11],"in":[12,104,130],"handling":[13],"compared":[16],"to":[17,32,58,172,178],"removing":[18],"all":[19],"row":[20],"records":[21,60],"which":[22],"will":[23,68],"reduce":[24],"the":[25,37,40,82,101,105,108,120,139,147,158,174,180],"number":[26],"of":[27,39,80,157],"datasets":[28],"and":[29,77,87,136,153],"can":[30],"lead":[31],"poor":[33],"research":[34],"results":[35,79,93,111,129,142,159],"if":[36],"size":[38],"remaining":[41],"data":[42],"too":[44],"small.The":[45],"problem":[46],"that":[47,51,61,90],"occurs":[49],"there":[52],"are":[53,94,114,143],"wrong":[55],"conclusions":[56],"due":[57],"some":[59],"have":[62],"values,":[64],"therefore":[65],"this":[66],"study":[67],"test":[69,110,128],"several":[70],"simple":[71],"imputation":[72,76,92,141,182],"methods,":[73],"namely":[74],"statistical-based":[75,98,140,167],"kNNI.The":[78],"testing":[81],"error":[83,121,148],"value":[84,122,149,177],"with":[85],"RMSE":[86],"MAPE":[88,106],"show":[89],"kNNI":[91,109,163],"much":[95],"better":[96,165],"than":[97,166],"imputation.Based":[99],"on":[100],"standard":[102],"used":[103],"test,":[107],"(error":[112],"values)":[113],"almost":[115],"entirely":[116],"very":[117],"good":[118,145],"because":[119,146],"<10%":[124],"except":[125],"for":[126],"three":[127],"dataset":[131],"1":[132],"at":[133],"k=10,":[134],"k=15":[135],"k=20,":[137],"while":[138],"only":[144],"between":[151],"10%":[152],"20%,":[154],"even":[155],"one":[156],"exceeds":[160],"20%":[161],"Although":[162],"imputation,":[168],"it":[169],"necessary":[171],"choose":[173],"right":[175],"k":[176],"get":[179],"best":[181],"results.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2023-05-18T00:00:00"}
