{"id":"https://openalex.org/W1002792218","doi":"https://doi.org/10.3233/ifs-151592","title":"Imputation of incomplete data using adaptive ellipsoids with linear regression","display_name":"Imputation of incomplete data using adaptive ellipsoids with linear regression","publication_year":2015,"publication_date":"2015-09-23","ids":{"openalex":"https://openalex.org/W1002792218","doi":"https://doi.org/10.3233/ifs-151592","mag":"1002792218"},"language":"en","primary_location":{"id":"doi:10.3233/ifs-151592","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ifs-151592","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"},"type":"article","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/A5011364010","display_name":"Leehter Yao","orcid":"https://orcid.org/0000-0003-0128-575X"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]},{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Leehter Yao","raw_affiliation_strings":["Department of Electrical Engineering, National Taipei University of Technology, Taiwan, R. O. C"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taipei University of Technology, Taiwan, R. O. C","institution_ids":["https://openalex.org/I118292597","https://openalex.org/I154864474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063723701","display_name":"Kuei-Sung Weng","orcid":null},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]},{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kuei-Sung Weng","raw_affiliation_strings":["Department of Electrical Engineering, National Taipei University of Technology, Taiwan, R. O. C"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taipei University of Technology, Taiwan, R. O. C","institution_ids":["https://openalex.org/I118292597","https://openalex.org/I154864474"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011364010"],"corresponding_institution_ids":["https://openalex.org/I118292597","https://openalex.org/I154864474"],"apc_list":null,"apc_paid":null,"fwci":0.518,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62138479,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"29","issue":"1","first_page":"253","last_page":"265"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13487","display_name":"Statistical and numerical algorithms","score":0.988099992275238,"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"}},"topics":[{"id":"https://openalex.org/T13487","display_name":"Statistical and numerical algorithms","score":0.988099992275238,"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"}},{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9790999889373779,"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/ellipsoid","display_name":"Ellipsoid","score":0.852135181427002},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.7969338893890381},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.7812062501907349},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.654447078704834},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.597610592842102},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.47445759177207947},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44707977771759033},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.44020533561706543},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39210245013237},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37023764848709106},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36958593130111694},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3357340097427368},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19466066360473633},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16760894656181335}],"concepts":[{"id":"https://openalex.org/C57489055","wikidata":"https://www.wikidata.org/wiki/Q190046","display_name":"Ellipsoid","level":2,"score":0.852135181427002},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.7969338893890381},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.7812062501907349},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.654447078704834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.597610592842102},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.47445759177207947},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44707977771759033},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.44020533561706543},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39210245013237},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37023764848709106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36958593130111694},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3357340097427368},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19466066360473633},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16760894656181335},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ifs-151592","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ifs-151592","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W255433357","https://openalex.org/W1484010841","https://openalex.org/W1508652239","https://openalex.org/W1515802933","https://openalex.org/W1537066827","https://openalex.org/W1560688497","https://openalex.org/W1578825426","https://openalex.org/W1598553907","https://openalex.org/W1841278647","https://openalex.org/W1971888031","https://openalex.org/W1981566656","https://openalex.org/W1985419027","https://openalex.org/W1987801991","https://openalex.org/W1988176704","https://openalex.org/W1992329416","https://openalex.org/W2017782250","https://openalex.org/W2024101422","https://openalex.org/W2028494354","https://openalex.org/W2074334456","https://openalex.org/W2096863518","https://openalex.org/W2102720558","https://openalex.org/W2109364787","https://openalex.org/W2113076747","https://openalex.org/W2114112206","https://openalex.org/W2121801161","https://openalex.org/W2122752936","https://openalex.org/W2132167346","https://openalex.org/W2138036661","https://openalex.org/W2138810473","https://openalex.org/W2140742659","https://openalex.org/W2146332392","https://openalex.org/W2146944094","https://openalex.org/W2480680997","https://openalex.org/W2543580944","https://openalex.org/W3120740533","https://openalex.org/W3176049587","https://openalex.org/W4367305637","https://openalex.org/W6634613053","https://openalex.org/W6647172677"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W3028371478","https://openalex.org/W2081476516","https://openalex.org/W2581984549","https://openalex.org/W3123177881"],"abstract_inverted_index":{"Abstract":[0],"An":[1],"efficient":[2],"scheme":[3],"for":[4],"imputing":[5],"the":[6,31,37,47,52,60,69,74,79,92,97,102,106],"features":[7,19,35,94],"missing":[8,18,93],"of":[9,26,33,36,54],"incomplete":[10,38,81],"data":[11,29,39,49,76,82,99],"is":[12,65,88],"proposed":[13,66],"in":[14,30,51],"this":[15],"paper.":[16],"The":[17],"are":[20],"imputed":[21],"based":[22,95],"on":[23,96],"a":[24],"group":[25],"nearest":[27],"complete":[28,48,75,98],"space":[32,53],"residual":[34,55],"to":[40,45,71,90],"be":[41],"recovered.":[42],"In":[43],"order":[44],"find":[46],"points":[50,77],"features,":[56],"an":[57],"algorithm":[58,63],"called":[59],"evolutionary":[61],"Gustafson-Kessel":[62],"(EGKA)":[64],"that":[67],"learns":[68],"ellipsoid":[70,103],"adaptively":[72],"cluster":[73],"with":[78],"recovered":[80],"points.":[83],"A":[84],"linear":[85],"regression":[86],"model":[87],"utilized":[89],"impute":[91],"clustered":[100],"by":[101,105],"learned":[104],"EGKA.":[107]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-02-11T14:41:00.668223","created_date":"2025-10-10T00:00:00"}
