{"id":"https://openalex.org/W2131143277","doi":"https://doi.org/10.1109/itcc.2004.1286501","title":"A new reparation method for incomplete data in the context of supervised learning","display_name":"A new reparation method for incomplete data in the context of supervised learning","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W2131143277","doi":"https://doi.org/10.1109/itcc.2004.1286501","mag":"2131143277"},"language":"en","primary_location":{"id":"doi:10.1109/itcc.2004.1286501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itcc.2004.1286501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004.","raw_type":"proceedings-article"},"type":"conference-paper","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/A5018392096","display_name":"Matteo Magnani","orcid":"https://orcid.org/0000-0002-3437-9018"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"M. Magnani","raw_affiliation_strings":["Department of Computer Science, University of Bologna, Bologna, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059792053","display_name":"Danilo Montesi","orcid":"https://orcid.org/0000-0002-4748-6867"},"institutions":[{"id":"https://openalex.org/I112859197","display_name":"Universit\u00e0 di Camerino","ror":"https://ror.org/0005w8d69","country_code":"IT","type":"education","lineage":["https://openalex.org/I112859197"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"D. Montesi","raw_affiliation_strings":["Department of Mathematics and Informatics, University of Camerino, Camerino, Macerata, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Informatics, University of Camerino, Camerino, Macerata, Italy","institution_ids":["https://openalex.org/I112859197"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"471","last_page":"475 Vol.1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9958000183105469,"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/T11106","display_name":"Data Management and Algorithms","score":0.9932000041007996,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.72502601146698},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.6899737119674683},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.67060786485672},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.6295030117034912},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5296705961227417},{"id":"https://openalex.org/keywords/real-world-data","display_name":"Real world data","score":0.5253303050994873},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5252234935760498},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4888858199119568},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48880359530448914},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.47950488328933716},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.47643977403640747},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4571291506290436},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.414821982383728},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16183361411094666},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14607784152030945},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.10682398080825806},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.08127865195274353}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.72502601146698},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.6899737119674683},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.67060786485672},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.6295030117034912},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5296705961227417},{"id":"https://openalex.org/C3020493868","wikidata":"https://www.wikidata.org/wiki/Q55631277","display_name":"Real world data","level":2,"score":0.5253303050994873},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5252234935760498},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4888858199119568},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48880359530448914},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.47950488328933716},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.47643977403640747},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4571291506290436},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.414821982383728},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16183361411094666},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14607784152030945},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.10682398080825806},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.08127865195274353},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/itcc.2004.1286501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itcc.2004.1286501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004.","raw_type":"proceedings-article"},{"id":"pmh:oai:cris.unibo.it:11585/23333","is_oa":false,"landing_page_url":"http://hdl.handle.net/11585/23333","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W104412146","https://openalex.org/W1509133995","https://openalex.org/W1527883571","https://openalex.org/W1534707631","https://openalex.org/W1537778944","https://openalex.org/W1550443206","https://openalex.org/W1583121608","https://openalex.org/W1598553907","https://openalex.org/W1603052292","https://openalex.org/W1983479840","https://openalex.org/W1992419399","https://openalex.org/W2024276726","https://openalex.org/W2049633694","https://openalex.org/W2055738688","https://openalex.org/W2096055385","https://openalex.org/W2118502261","https://openalex.org/W2124732843","https://openalex.org/W2125055259","https://openalex.org/W2139722852","https://openalex.org/W2158985195","https://openalex.org/W4300187280","https://openalex.org/W6604238095","https://openalex.org/W6630298643","https://openalex.org/W6678321527"],"related_works":["https://openalex.org/W1586607209","https://openalex.org/W122912556","https://openalex.org/W4312414840","https://openalex.org/W2621411691","https://openalex.org/W2271357838","https://openalex.org/W2556866732","https://openalex.org/W2328989934","https://openalex.org/W2348322200","https://openalex.org/W2981952041","https://openalex.org/W3148060700"],"abstract_inverted_index":{"Real-world":[0],"data":[1,18,92],"is":[2,45,63,66,73],"often":[3],"incomplete.":[4],"There":[5],"exist":[6],"many":[7],"statistical":[8],"methods":[9],"to":[10,23,68],"deal":[11],"with":[12,90],"missing":[13],"items.":[14],"However,":[15],"they":[16],"assume":[17],"distributions":[19],"which":[20],"are":[21],"difficult":[22],"justify":[24],"in":[25],"the":[26],"context":[27],"of":[28,39,48,81],"supervised":[29],"learning.":[30],"In":[31],"this":[32,62],"paper":[33],"we":[34],"propose":[35],"a":[36,46,49,82],"new":[37],"method":[38],"repairing":[40],"incomplete":[41,58],"data.":[42],"This":[43],"technique":[44],"variation":[47],"general":[50,75],"strategy,":[51],"here":[52],"called":[53],"local":[54],"imputation.":[55],"It":[56,65,72],"repairs":[57],"records,":[59],"only":[60],"when":[61],"reasonable.":[64],"able":[67],"identify":[69],"wrong":[70],"tuples.":[71],"more":[74],"than":[76],"other":[77],"similar":[78],"methods,":[79],"because":[80],"parametric":[83],"similarity":[84],"function.":[85],"Finally,":[86],"it":[87],"also":[88],"works":[89],"noisy":[91],"sets.":[93]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}