{"id":"https://openalex.org/W1987320642","doi":"https://doi.org/10.1145/1066677.1066787","title":"DrC4.5","display_name":"DrC4.5","publication_year":2005,"publication_date":"2005-03-13","ids":{"openalex":"https://openalex.org/W1987320642","doi":"https://doi.org/10.1145/1066677.1066787","mag":"1987320642"},"language":"en","primary_location":{"id":"doi:10.1145/1066677.1066787","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1066677.1066787","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2005 ACM symposium on Applied computing","raw_type":"proceedings-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/A5057117410","display_name":"Miriam Baglioni","orcid":"https://orcid.org/0000-0002-2273-9004"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Miriam Baglioni","raw_affiliation_strings":["University of Pisa","University of Pisa,#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Pisa","institution_ids":["https://openalex.org/I108290504"]},{"raw_affiliation_string":"University of Pisa,#TAB#","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071808346","display_name":"Barbara Furletti","orcid":null},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Barbara Furletti","raw_affiliation_strings":["University of Pisa","University of Pisa,#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Pisa","institution_ids":["https://openalex.org/I108290504"]},{"raw_affiliation_string":"University of Pisa,#TAB#","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023007469","display_name":"Franco Turini","orcid":"https://orcid.org/0000-0001-6789-5476"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Franco Turini","raw_affiliation_strings":["University of Pisa","University of Pisa,#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Pisa","institution_ids":["https://openalex.org/I108290504"]},{"raw_affiliation_string":"University of Pisa,#TAB#","institution_ids":["https://openalex.org/I108290504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057117410"],"corresponding_institution_ids":["https://openalex.org/I108290504"],"apc_list":null,"apc_paid":null,"fwci":3.5123,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.92572302,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"474","last_page":"481"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9998000264167786,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9998000264167786,"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/T11719","display_name":"Data Quality and Management","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.98089998960495,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7845906019210815},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5672898888587952},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5173386931419373},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.4982943534851074},{"id":"https://openalex.org/keywords/decision-table","display_name":"Decision table","score":0.4915562570095062},{"id":"https://openalex.org/keywords/conjunction","display_name":"Conjunction (astronomy)","score":0.48360031843185425},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4639572501182556},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4312887191772461},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.43076950311660767},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.41160598397254944},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10492706298828125}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7845906019210815},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5672898888587952},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5173386931419373},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.4982943534851074},{"id":"https://openalex.org/C172967692","wikidata":"https://www.wikidata.org/wiki/Q747762","display_name":"Decision table","level":3,"score":0.4915562570095062},{"id":"https://openalex.org/C59656382","wikidata":"https://www.wikidata.org/wiki/Q191536","display_name":"Conjunction (astronomy)","level":2,"score":0.48360031843185425},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4639572501182556},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4312887191772461},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.43076950311660767},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.41160598397254944},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10492706298828125},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1066677.1066787","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1066677.1066787","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2005 ACM symposium on Applied computing","raw_type":"proceedings-article"},{"id":"pmh:oai:dnet:people______::132f6824de21198c8d90c7cbbde4ecf7","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S7407055261","display_name":"ISTI Open Portal","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1994015195","https://openalex.org/W2096504109","https://openalex.org/W2125055259","https://openalex.org/W2128420091","https://openalex.org/W2149706766","https://openalex.org/W2166103330","https://openalex.org/W3085162807","https://openalex.org/W4253899153"],"related_works":["https://openalex.org/W1573992054","https://openalex.org/W1599690842","https://openalex.org/W2753053412","https://openalex.org/W2665157442","https://openalex.org/W3108840034","https://openalex.org/W2025955965","https://openalex.org/W1964637661","https://openalex.org/W4286964398","https://openalex.org/W3201074950","https://openalex.org/W2033543900"],"abstract_inverted_index":{"Classification":[0],"is":[1,39,113],"one":[2,58],"of":[3,24,27,46,67,70,79,98,118],"the":[4,47,57,61,77,80,96,119],"most":[5],"useful":[6],"techniques":[7],"for":[8],"extracting":[9],"meaningful":[10],"knowledge":[11,71,93],"from":[12,21],"databases.":[13],"Classifiers,":[14],"e.g.":[15,42],"decision":[16],"trees,":[17],"are":[18,103],"usually":[19],"extracted":[20],"a":[22,64,92],"table":[23],"records,":[25],"each":[26],"which":[28],"represents":[29],"an":[30,116],"example.":[31],"However,":[32],"quite":[33],"often":[34],"in":[35,54],"real":[36],"applications":[37],"there":[38],"other":[40],"knowledge,":[41],"owned":[43],"by":[44],"experts":[45],"field,":[48],"that":[49],"can":[50],"be":[51],"usefully":[52],"used":[53],"conjunction":[55],"with":[56],"hidden":[59],"inside":[60],"examples.":[62],"As":[63],"concrete":[65],"example":[66],"this":[68,84],"kind":[69],"we":[72,86],"consider":[73],"causal":[74,101],"dependencies":[75,102],"among":[76],"attributes":[78],"data":[81],"records.":[82],"In":[83],"paper":[85],"discuss":[87],"how":[88],"to":[89,94],"use":[90],"such":[91],"improve":[95],"construction":[97],"classifiers.":[99],"The":[100],"represented":[104],"via":[105],"Bayesian":[106],"Causal":[107],"Maps":[108],"(BCMs),":[109],"and":[110],"our":[111],"method":[112],"implemented":[114],"as":[115],"adaptation":[117],"well":[120],"known":[121],"C4.5":[122],"algorithm.":[123]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-02T08:37:19.008085","created_date":"2016-06-24T00:00:00"}