{"id":"https://openalex.org/W2995148135","doi":"https://doi.org/10.1504/ijbdm.2019.10025856","title":"Missing Data Imputation by the Aid of Features Similarities","display_name":"Missing Data Imputation by the Aid of Features Similarities","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2995148135","doi":"https://doi.org/10.1504/ijbdm.2019.10025856","mag":"2995148135"},"language":"en","primary_location":{"id":"doi:10.1504/ijbdm.2019.10025856","doi":"https://doi.org/10.1504/ijbdm.2019.10025856","is_oa":true,"landing_page_url":"https://doi.org/10.1504/ijbdm.2019.10025856","pdf_url":"https://doi.org/10.1504/ijbdm.2019.10025856","source":{"id":"https://openalex.org/S4210225045","display_name":"International Journal of Big Data Management","issn_l":"2631-8679","issn":["2631-8679","2631-8687"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Big Data Management","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.1504/ijbdm.2019.10025856","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063114495","display_name":"Samih M. Mostafa","orcid":"https://orcid.org/0000-0001-9234-5898","observed_orcids":["https://orcid.org/0000-0001-9234-5898"]},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]},{"id":"https://openalex.org/I189575948","display_name":"South Valley University","ror":"https://ror.org/00jxshx33","country_code":"EG","type":"education","lineage":["https://openalex.org/I189575948"]},{"id":"https://openalex.org/I4405259404","display_name":"South Valley University","ror":"https://ror.org/026r6c532","country_code":"ZM","type":"education","lineage":["https://openalex.org/I4405259404"]}],"countries":["EG","JP","ZM"],"is_corresponding":true,"raw_author_name":"Samih M. Mostafa","raw_affiliation_strings":["Computer Science from the Advanced Information Technology Department, Graduate School of Information Technology, Kyushu University, Japan in 2017","Computer Science from the Faculty of Science, Mathematics Department, Computer Science, South Valley University in 2004 and 2010, respectively,","Faculty of Science, Mathematics Department, Computer Science, South Valley University, Qena, Egypt","Faculty of Science, South Valley University, Qena, Eygpt","Mathematics Department,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science from the Advanced Information Technology Department, Graduate School of Information Technology, Kyushu University, Japan in 2017","institution_ids":["https://openalex.org/I135598925"]},{"raw_affiliation_string":"Computer Science from the Faculty of Science, Mathematics Department, Computer Science, South Valley University in 2004 and 2010, respectively,","institution_ids":["https://openalex.org/I189575948","https://openalex.org/I4405259404"]},{"raw_affiliation_string":"Faculty of Science, Mathematics Department, Computer Science, South Valley University, Qena, Egypt","institution_ids":["https://openalex.org/I189575948"]},{"raw_affiliation_string":"Faculty of Science, South Valley University, Qena, Eygpt","institution_ids":["https://openalex.org/I189575948"]},{"raw_affiliation_string":"Mathematics Department,","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063114495"],"corresponding_institution_ids":["https://openalex.org/I135598925","https://openalex.org/I189575948","https://openalex.org/I4405259404"],"apc_list":null,"apc_paid":null,"fwci":0.5874,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72174782,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"1","issue":"1","first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9804999828338623,"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":0.9804999828338623,"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/T11719","display_name":"Data Quality and Management","score":0.0015999999595806003,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.00139999995008111,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/missing-data-imputation","display_name":"missing data imputation","score":1.0},{"id":"https://openalex.org/keywords/feature-similarity","display_name":"feature similarity","score":0.8040000200271606},{"id":"https://openalex.org/keywords/data-quality","display_name":"data quality","score":0.5789999961853027},{"id":"https://openalex.org/keywords/interpolation","display_name":"interpolation","score":0.42899999022483826}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.8549659252166748},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.7413359880447388},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.492499440908432},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4181828796863556},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3616916537284851},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1622733175754547}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijbdm.2019.10025856","doi":"https://doi.org/10.1504/ijbdm.2019.10025856","is_oa":true,"landing_page_url":"https://doi.org/10.1504/ijbdm.2019.10025856","pdf_url":"https://doi.org/10.1504/ijbdm.2019.10025856","source":{"id":"https://openalex.org/S4210225045","display_name":"International Journal of Big Data Management","issn_l":"2631-8679","issn":["2631-8679","2631-8687"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Big Data Management","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1504/ijbdm.2019.10025856","doi":"https://doi.org/10.1504/ijbdm.2019.10025856","is_oa":true,"landing_page_url":"https://doi.org/10.1504/ijbdm.2019.10025856","pdf_url":"https://doi.org/10.1504/ijbdm.2019.10025856","source":{"id":"https://openalex.org/S4210225045","display_name":"International Journal of Big Data Management","issn_l":"2631-8679","issn":["2631-8679","2631-8687"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Big Data Management","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/W2995148135.pdf","grobid_xml":"https://content.openalex.org/works/W2995148135.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W121803457","https://openalex.org/W1512728068","https://openalex.org/W1533198000","https://openalex.org/W1644048906","https://openalex.org/W1679499633","https://openalex.org/W1822348759","https://openalex.org/W1977098485","https://openalex.org/W1983479840","https://openalex.org/W1991635626","https://openalex.org/W1992329416","https://openalex.org/W2017665047","https://openalex.org/W2030582242","https://openalex.org/W2039015671","https://openalex.org/W2116781287","https://openalex.org/W2128372630","https://openalex.org/W2318487091","https://openalex.org/W2329647202","https://openalex.org/W2510090379","https://openalex.org/W2598379669","https://openalex.org/W2769693452","https://openalex.org/W2896444124","https://openalex.org/W2909622566","https://openalex.org/W2920529430","https://openalex.org/W2943647645","https://openalex.org/W2951837249","https://openalex.org/W2953567527","https://openalex.org/W4249303080","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1973315244","https://openalex.org/W6941166445","https://openalex.org/W2969282196","https://openalex.org/W3119637569","https://openalex.org/W3011327475","https://openalex.org/W2077515388","https://openalex.org/W2811882588","https://openalex.org/W2310503868","https://openalex.org/W3187035773","https://openalex.org/W7096344649"],"abstract_inverted_index":{"The":[0],"missing":[1,30,81,94,108,149],"data":[2,13,31,82],"is":[3,14,25,98,112,144,152],"likely":[4],"to":[5,27,78,91,104],"occur":[6],"in":[7,75,83],"statistical":[8],"analyses.The":[9],"quality":[10,138],"of":[11,34,72,126,139],"the":[12,17,29,51,59,70,73,76,80,84,86,101,106,124,127,137,142,148],"affected":[15],"by":[16],"used":[18],"imputation":[19],"method.In":[20],"this":[21],"paper,":[22],"a":[23],"method":[24,67,97,103],"proposed":[26,66,102,110,128],"impute":[28,79,92,105],"on":[32,58,69],"variables":[33,43],"interest":[35],"(i.e.,":[36,44,64],"recipient)":[37],"using":[38],"observed":[39],"values":[40,74,150],"from":[41],"other":[42],"donors).Some":[45],"existing":[46,119],"methods":[47],"rely":[48,57],"upon":[49],"only":[50],"recipient":[52,60],"(e.g.,":[53],"unconditional":[54],"means),":[55],"others":[56],"and":[61,114,130],"one":[62],"donor":[63,77],"interpolation).The":[65],"depends":[68],"similarities":[71,87],"recipient.If":[85],"are":[88],"not":[89],"sufficient":[90],"all":[93],"values,":[95],"another":[96],"combined":[99,117],"with":[100,118],"residual":[107],"data.The":[109],"approach":[111,129],"straightforward":[113],"can":[115,134],"be":[116],"methods.The":[120],"empirical":[121],"study":[122],"validated":[123],"superiority":[125],"showed":[131],"that":[132],"it":[133],"significantly":[135],"improve":[136],"data.In":[140],"addition,":[141],"improvement":[143],"more":[145],"remarkable":[146],"when":[147],"ratio":[151],"greater.":[153]},"counts_by_year":[{"year":2020,"cited_by_count":3}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2019-12-26T00:00:00"}