{"id":"https://openalex.org/W4362561483","doi":"https://doi.org/10.56977/jicce.2023.21.1.62","title":"Imputation Method Using Local Linear Regression Based on Bidirectional k-nearest-components","display_name":"Imputation Method Using Local Linear Regression Based on Bidirectional k-nearest-components","publication_year":2023,"publication_date":"2023-03-31","ids":{"openalex":"https://openalex.org/W4362561483","doi":"https://doi.org/10.56977/jicce.2023.21.1.62"},"language":"en","primary_location":{"id":"doi:10.56977/jicce.2023.21.1.62","doi":"https://doi.org/10.56977/jicce.2023.21.1.62","is_oa":true,"landing_page_url":"https://doi.org/10.56977/jicce.2023.21.1.62","pdf_url":"https://www.jicce.org/journal/download_pdf.php?doi=10.56977/jicce.2023.21.1.62","source":{"id":"https://openalex.org/S2764979558","display_name":"Journal of information and communication convergence engineering","issn_l":"2234-8255","issn":["2234-8255","2234-8883"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["kci-registered","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4366067019","host_organization_name":"Korea Institute of Information and Communication Engineering","host_organization_lineage":["https://openalex.org/P4366067019"],"host_organization_lineage_names":["Korea Institute of Information and Communication Engineering"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of information and communication convergence engineering","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.jicce.org/journal/download_pdf.php?doi=10.56977/jicce.2023.21.1.62","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028796714","display_name":"Yonggeol Lee","orcid":"https://orcid.org/0000-0003-0277-5136","observed_orcids":["https://orcid.org/0000-0003-0277-5136"]},"institutions":[{"id":"https://openalex.org/I36738375","display_name":"Hanshin University","ror":"https://ror.org/039fgyk85","country_code":"KR","type":"education","lineage":["https://openalex.org/I36738375"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Yonggeol Lee","raw_affiliation_strings":["Division of Software Convergence, Hanshin University, Osan 18101, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-0277-5136","affiliations":[{"raw_affiliation_string":"Division of Software Convergence, Hanshin University, Osan 18101, Republic of Korea","institution_ids":["https://openalex.org/I36738375"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5028796714"],"corresponding_institution_ids":["https://openalex.org/I36738375"],"apc_list":null,"apc_paid":null,"fwci":0.1489,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.35281636,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"21","issue":"1","first_page":"62","last_page":"67"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.2556000053882599,"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":0.2556000053882599,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.09440000355243683,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T13487","display_name":"Statistical and numerical algorithms","score":0.07090000063180923,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"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/missing-data-imputation","display_name":"missing data imputation","score":0.9440000057220459},{"id":"https://openalex.org/keywords/local-linear-regression","display_name":"local linear regression","score":0.9399999976158142},{"id":"https://openalex.org/keywords/component-weighting","display_name":"component weighting","score":0.6190000176429749},{"id":"https://openalex.org/keywords/power-system-data","display_name":"power system data","score":0.4449999928474426}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.634397566318512},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.5980082154273987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5784890651702881},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5754354000091553},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5348685383796692},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4191129207611084},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4146497845649719},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3805190622806549},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3770080804824829},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3467538356781006},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27782225608825684},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16191786527633667},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.11427003145217896}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.56977/jicce.2023.21.1.62","doi":"https://doi.org/10.56977/jicce.2023.21.1.62","is_oa":true,"landing_page_url":"https://doi.org/10.56977/jicce.2023.21.1.62","pdf_url":"https://www.jicce.org/journal/download_pdf.php?doi=10.56977/jicce.2023.21.1.62","source":{"id":"https://openalex.org/S2764979558","display_name":"Journal of information and communication convergence engineering","issn_l":"2234-8255","issn":["2234-8255","2234-8883"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["kci-registered","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4366067019","host_organization_name":"Korea Institute of Information and Communication Engineering","host_organization_lineage":["https://openalex.org/P4366067019"],"host_organization_lineage_names":["Korea Institute of Information and Communication Engineering"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of information and communication convergence engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.56977/jicce.2023.21.1.62","doi":"https://doi.org/10.56977/jicce.2023.21.1.62","is_oa":true,"landing_page_url":"https://doi.org/10.56977/jicce.2023.21.1.62","pdf_url":"https://www.jicce.org/journal/download_pdf.php?doi=10.56977/jicce.2023.21.1.62","source":{"id":"https://openalex.org/S2764979558","display_name":"Journal of information and communication convergence engineering","issn_l":"2234-8255","issn":["2234-8255","2234-8883"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["kci-registered","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4366067019","host_organization_name":"Korea Institute of Information and Communication Engineering","host_organization_lineage":["https://openalex.org/P4366067019"],"host_organization_lineage_names":["Korea Institute of Information and Communication Engineering"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of information and communication convergence engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321231","display_name":"Hanshin University","ror":"https://ror.org/039fgyk85"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4362561483.pdf","grobid_xml":"https://content.openalex.org/works/W4362561483.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W1519775745","https://openalex.org/W1979486410","https://openalex.org/W1985808723","https://openalex.org/W2027244596","https://openalex.org/W2031459800","https://openalex.org/W2060871948","https://openalex.org/W2121536973","https://openalex.org/W2162772535","https://openalex.org/W2480730463","https://openalex.org/W3006713198","https://openalex.org/W3089841988","https://openalex.org/W3135808354","https://openalex.org/W4241444573"],"related_works":["https://openalex.org/W2006444004","https://openalex.org/W6996342566","https://openalex.org/W4321064467","https://openalex.org/W2800435428","https://openalex.org/W7160825069","https://openalex.org/W1997086614","https://openalex.org/W3009943557","https://openalex.org/W2370991673","https://openalex.org/W3034536504","https://openalex.org/W2808682471"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3,48],"imputation":[4,49,143],"method":[5,20,41,70,130],"using":[6,63,147],"a":[7,36,78,96,101,109],"bidirectional":[8,17],"k-nearest":[9],"components":[10,22,46,56,114],"search":[11,19],"based":[12],"local":[13,64,67],"linear":[14,65,68,110],"regression":[15,69],"method.The":[16],"k-nearest-components":[18],"selects":[21],"in":[23,47,77,95],"the":[24,28,31,39,55,58,74,87,92,113,118,122,125,128,132,136,139],"dynamic":[25],"range":[26],"from":[27,73,108],"missing":[29,59,104,123],"points.Unlike":[30],"existing":[32,133],"methods,":[33],"which":[34],"use":[35],"fixed-size":[37],"window,":[38],"proposed":[40,129],"can":[42,85],"flexibly":[43],"select":[44],"adjacent":[45],"problem.The":[50],"weight":[51,88],"values":[52,89,105],"assigned":[53],"to":[54],"around":[57],"points":[60],"are":[61],"calculated":[62],"regression.The":[66],"is":[71],"free":[72],"rank":[75],"problem":[76],"matrix":[79],"of":[80,112],"dependent":[81],"variables.In":[82],"addition,":[83],"it":[84],"calculate":[86],"that":[90],"reflect":[91],"data":[93,141,144],"flow":[94],"specific":[97],"environment,":[98],"such":[99],"as":[100],"blackout.The":[102],"original":[103,140],"were":[106],"estimated":[107,119],"combination":[111],"and":[115,142,149],"their":[116],"weights.Finally,":[117],"value":[120],"imputes":[121],"values.In":[124],"experimental":[126],"results,":[127],"outperformed":[131],"methods":[134],"when":[135],"error":[137],"between":[138],"was":[145],"measured":[146],"MAE":[148],"RMSE.":[150]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2023-04-06T00:00:00"}