{"id":"https://openalex.org/W2186199722","doi":"https://doi.org/10.3233/978-1-58603-984-4-76","title":"Discovering regression data quality through clustering methods","display_name":"Discovering regression data quality through clustering methods","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2186199722","doi":"https://doi.org/10.3233/978-1-58603-984-4-76","mag":"2186199722"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-58603-984-4-76","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-58603-984-4-76","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","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/A5005837237","display_name":"Dario Malchiodi","orcid":"https://orcid.org/0000-0002-7574-697X"},"institutions":[{"id":"https://openalex.org/I189158943","display_name":"University of Milan","ror":"https://ror.org/00wjc7c48","country_code":"IT","type":"education","lineage":["https://openalex.org/I189158943"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Malchiodi Dario","raw_affiliation_strings":["University of Milan, Department of Computer Science, Via Comelico 39/41, 20135 Milan, Italy, {malchiodi,bassis,valerio}@dsi.unimi.it#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Milan, Department of Computer Science, Via Comelico 39/41, 20135 Milan, Italy, {malchiodi,bassis,valerio}@dsi.unimi.it#TAB#","institution_ids":["https://openalex.org/I189158943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029685754","display_name":"Simone Bassis","orcid":"https://orcid.org/0000-0002-8899-4200"},"institutions":[{"id":"https://openalex.org/I189158943","display_name":"University of Milan","ror":"https://ror.org/00wjc7c48","country_code":"IT","type":"education","lineage":["https://openalex.org/I189158943"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Bassis Simone","raw_affiliation_strings":["University of Milan, Department of Computer Science, Via Comelico 39/41, 20135 Milan, Italy, {malchiodi,bassis,valerio}@dsi.unimi.it#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Milan, Department of Computer Science, Via Comelico 39/41, 20135 Milan, Italy, {malchiodi,bassis,valerio}@dsi.unimi.it#TAB#","institution_ids":["https://openalex.org/I189158943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022139051","display_name":"Lorenzo Valerio","orcid":"https://orcid.org/0000-0001-5574-7847"},"institutions":[{"id":"https://openalex.org/I189158943","display_name":"University of Milan","ror":"https://ror.org/00wjc7c48","country_code":"IT","type":"education","lineage":["https://openalex.org/I189158943"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Valerio Lorenzo","raw_affiliation_strings":["University of Milan, Department of Computer Science, Via Comelico 39/41, 20135 Milan, Italy, {malchiodi,bassis,valerio}@dsi.unimi.it#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Milan, Department of Computer Science, Via Comelico 39/41, 20135 Milan, Italy, {malchiodi,bassis,valerio}@dsi.unimi.it#TAB#","institution_ids":["https://openalex.org/I189158943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005837237"],"corresponding_institution_ids":["https://openalex.org/I189158943"],"apc_list":null,"apc_paid":null,"fwci":0.5529,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.69128683,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"193","issue":"1","first_page":"76","last_page":"85"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9962999820709229,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9962999820709229,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9937999844551086,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.6504414677619934},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5690889954566956},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4724220037460327},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46447765827178955},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4641963243484497},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.34601348638534546},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3045114576816559},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.213682621717453},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.043708592653274536}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6504414677619934},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5690889954566956},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4724220037460327},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46447765827178955},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4641963243484497},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.34601348638534546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3045114576816559},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.213682621717453},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.043708592653274536},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/978-1-58603-984-4-76","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-58603-984-4-76","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"mag:2186199722","is_oa":false,"landing_page_url":"https://air.unimi.it/handle/2434/56503","pdf_url":null,"source":{"id":"https://openalex.org/S4306420399","display_name":"Italian Workshop on Neural Nets","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Italian Workshop on Neural Nets","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W80917968","https://openalex.org/W1526146785","https://openalex.org/W1539574168","https://openalex.org/W1943383135","https://openalex.org/W1970655212","https://openalex.org/W2001619934","https://openalex.org/W2022782300","https://openalex.org/W2025037675","https://openalex.org/W2085559291","https://openalex.org/W2089923519","https://openalex.org/W2100294832","https://openalex.org/W2105497548","https://openalex.org/W2116798985","https://openalex.org/W2126751256","https://openalex.org/W2132870739","https://openalex.org/W2137226992","https://openalex.org/W2148694408","https://openalex.org/W2165503745","https://openalex.org/W2999729612","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W1926736923","https://openalex.org/W2158836806","https://openalex.org/W2393816671","https://openalex.org/W2083665254","https://openalex.org/W2942177010"],"abstract_inverted_index":{"We":[0],"propose":[1],"the":[2,11,43,53],"use":[3],"of":[4,13,50,55],"clustering":[5],"methods":[6],"in":[7,16,35],"order":[8],"to":[9,20,24],"discover":[10],"quality":[12],"each":[14],"element":[15],"a":[17,25],"training":[18],"set":[19],"be":[21],"subsequently":[22],"fed":[23],"regression":[26,38],"algorithm.":[27],"The":[28],"paper":[29],"shows":[30],"that":[31],"these":[32],"methods,":[33],"used":[34],"combination":[36],"with":[37],"algorithms":[39],"taking":[40],"into":[41],"account":[42],"additional":[44],"information":[45],"conveyed":[46],"by":[47],"this":[48],"kind":[49],"quality,":[51],"allow":[52],"attainment":[54],"higher":[56],"performances":[57],"than":[58],"those":[59],"obtained":[60],"through":[61],"standard":[62],"techniques.":[63]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}