{"id":"https://openalex.org/W2162041599","doi":"https://doi.org/10.1007/s00357-012-9108-1","title":"Accurate Tree-based Missing Data Imputation and Data Fusion within the Statistical Learning Paradigm","display_name":"Accurate Tree-based Missing Data Imputation and Data Fusion within the Statistical Learning Paradigm","publication_year":2012,"publication_date":"2012-06-17","ids":{"openalex":"https://openalex.org/W2162041599","doi":"https://doi.org/10.1007/s00357-012-9108-1","mag":"2162041599"},"language":"en","primary_location":{"id":"doi:10.1007/s00357-012-9108-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00357-012-9108-1","pdf_url":null,"source":{"id":"https://openalex.org/S73028643","display_name":"Journal of Classification","issn_l":"0176-4268","issn":["0176-4268","1432-1343"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Classification","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/A5066042653","display_name":"Antonio D\u2019Ambrosio","orcid":"https://orcid.org/0000-0002-1905-037X"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Antonio D\u2019Ambrosio","raw_affiliation_strings":["Department of Mathematics and Statistics, University of Naples Federico II, Via Cinthia, M.te S. Angelo, 80126, Naples, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, University of Naples Federico II, Via Cinthia, M.te S. Angelo, 80126, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069892096","display_name":"Massimo Aria","orcid":"https://orcid.org/0000-0002-8517-9411"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Massimo Aria","raw_affiliation_strings":["Department of Mathematics and Statistics, University of Naples Federico II, Via Cinthia, M.te S. Angelo, 80126, Naples, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, University of Naples Federico II, Via Cinthia, M.te S. Angelo, 80126, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069989968","display_name":"Roberta Siciliano","orcid":"https://orcid.org/0000-0002-8012-0461"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Roberta Siciliano","raw_affiliation_strings":["Department of Mathematics and Statistics, University of Naples Federico II, Via Cinthia, M.te S. Angelo, 80126, Naples, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, University of Naples Federico II, Via Cinthia, M.te S. Angelo, 80126, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5066042653"],"corresponding_institution_ids":["https://openalex.org/I71267560"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":1.7837,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.87472777,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"29","issue":"2","first_page":"227","last_page":"258"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9966999888420105,"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"}},"topics":[{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9966999888420105,"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":0.9940000176429749,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9926000237464905,"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","display_name":"Missing data","score":0.835457980632782},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.8101558685302734},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6727439761161804},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.578039288520813},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5448694825172424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4471837282180786},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.41724711656570435},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40420883893966675},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.08737456798553467}],"concepts":[{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.835457980632782},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.8101558685302734},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6727439761161804},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.578039288520813},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5448694825172424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4471837282180786},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.41724711656570435},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40420883893966675},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.08737456798553467}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s00357-012-9108-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00357-012-9108-1","pdf_url":null,"source":{"id":"https://openalex.org/S73028643","display_name":"Journal of Classification","issn_l":"0176-4268","issn":["0176-4268","1432-1343"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Classification","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:jclass:v:29:y:2012:i:2:p:227-258","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1007/s00357-012-9108-1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W74148877","https://openalex.org/W109462635","https://openalex.org/W127976738","https://openalex.org/W198229602","https://openalex.org/W228425655","https://openalex.org/W306497319","https://openalex.org/W321726205","https://openalex.org/W583974615","https://openalex.org/W1251444851","https://openalex.org/W1480376833","https://openalex.org/W1494785368","https://openalex.org/W1500698297","https://openalex.org/W1516193414","https://openalex.org/W1526434348","https://openalex.org/W1534477342","https://openalex.org/W1550700900","https://openalex.org/W1587249036","https://openalex.org/W1594031697","https://openalex.org/W1605906394","https://openalex.org/W1975846642","https://openalex.org/W1977912757","https://openalex.org/W1982993963","https://openalex.org/W1984558911","https://openalex.org/W1988790447","https://openalex.org/W1990487119","https://openalex.org/W2001135624","https://openalex.org/W2004328779","https://openalex.org/W2014971571","https://openalex.org/W2030471388","https://openalex.org/W2039425303","https://openalex.org/W2043851564","https://openalex.org/W2044022210","https://openalex.org/W2044758663","https://openalex.org/W2049633694","https://openalex.org/W2061489415","https://openalex.org/W2061839154","https://openalex.org/W2067885219","https://openalex.org/W2070337513","https://openalex.org/W2100358124","https://openalex.org/W2102252264","https://openalex.org/W2118502261","https://openalex.org/W2148603752","https://openalex.org/W2156909104","https://openalex.org/W2166706165","https://openalex.org/W2317495574","https://openalex.org/W2475754495","https://openalex.org/W2616996754","https://openalex.org/W2787894218","https://openalex.org/W2791158104","https://openalex.org/W2912934387","https://openalex.org/W3021787434","https://openalex.org/W3042631716","https://openalex.org/W3085162807","https://openalex.org/W3197494818","https://openalex.org/W4238306122","https://openalex.org/W4242068731","https://openalex.org/W4245350946","https://openalex.org/W4285719527","https://openalex.org/W6605228046","https://openalex.org/W6608106544","https://openalex.org/W6699528914","https://openalex.org/W6808111085"],"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":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}