{"id":"https://openalex.org/W1529363039","doi":"https://doi.org/10.1007/3-540-61863-5_47","title":"Noise elimination in inductive concept learning: A case study in medical diagnosis","display_name":"Noise elimination in inductive concept learning: A case study in medical diagnosis","publication_year":1996,"publication_date":"1996-01-01","ids":{"openalex":"https://openalex.org/W1529363039","doi":"https://doi.org/10.1007/3-540-61863-5_47","mag":"1529363039"},"language":"en","primary_location":{"id":"doi:10.1007/3-540-61863-5_47","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-61863-5_47","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","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/A5087537644","display_name":"Dragan Gamberger","orcid":"https://orcid.org/0000-0002-9008-6156"},"institutions":[{"id":"https://openalex.org/I4210123216","display_name":"Rudjer Boskovic Institute","ror":"https://ror.org/02mw21745","country_code":"HR","type":"facility","lineage":["https://openalex.org/I4210123216"]}],"countries":["HR"],"is_corresponding":true,"raw_author_name":"Dragan Gamberger","raw_affiliation_strings":["Rudjer Bo\u0161kovi\u0107 Institute, Bijeni\u010dka 54, 10000, Zagreb, Croatia","Rudjer Bo\u0161kovi\u0107 Institute"],"affiliations":[{"raw_affiliation_string":"Rudjer Bo\u0161kovi\u0107 Institute, Bijeni\u010dka 54, 10000, Zagreb, Croatia","institution_ids":["https://openalex.org/I4210123216"]},{"raw_affiliation_string":"Rudjer Bo\u0161kovi\u0107 Institute","institution_ids":["https://openalex.org/I4210123216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060174190","display_name":"Nada Lavra\u010d","orcid":"https://orcid.org/0000-0002-9995-7093"},"institutions":[{"id":"https://openalex.org/I3006985408","display_name":"Jo\u017eef Stefan Institute","ror":"https://ror.org/05060sz93","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3006985408"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Nada Lavra\u010d","raw_affiliation_strings":["Jo\u017eef Stefan Institute, Jamova 39, 1000, Ljubljana, Slovenia","Jo\u017eef Stefan Institute"],"affiliations":[{"raw_affiliation_string":"Jo\u017eef Stefan Institute, Jamova 39, 1000, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I3006985408"]},{"raw_affiliation_string":"Jo\u017eef Stefan Institute","institution_ids":["https://openalex.org/I3006985408"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064609702","display_name":"Sa\u0161o D\u017eeroski","orcid":"https://orcid.org/0000-0003-2363-712X"},"institutions":[{"id":"https://openalex.org/I3006985408","display_name":"Jo\u017eef Stefan Institute","ror":"https://ror.org/05060sz93","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3006985408"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Sa\u0161o D\u017eeroski","raw_affiliation_strings":["Jo\u017eef Stefan Institute, Jamova 39, 1000, Ljubljana, Slovenia","Jo\u017eef Stefan Institute"],"affiliations":[{"raw_affiliation_string":"Jo\u017eef Stefan Institute, Jamova 39, 1000, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I3006985408"]},{"raw_affiliation_string":"Jo\u017eef Stefan Institute","institution_ids":["https://openalex.org/I3006985408"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5087537644"],"corresponding_institution_ids":["https://openalex.org/I4210123216"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":3.478,"has_fulltext":false,"cited_by_count":74,"citation_normalized_percentile":{"value":0.91707865,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"199","last_page":"212"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9923999905586243,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9923999905586243,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9901999831199646,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9873999953269958,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.901320219039917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7667319774627686},{"id":"https://openalex.org/keywords/inductive-bias","display_name":"Inductive bias","score":0.6855231523513794},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5962604880332947},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49120110273361206},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4456687867641449},{"id":"https://openalex.org/keywords/noisy-data","display_name":"Noisy data","score":0.4445209801197052},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4316237270832062},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4283805191516876},{"id":"https://openalex.org/keywords/minimum-description-length","display_name":"Minimum description length","score":0.41748228669166565},{"id":"https://openalex.org/keywords/inductive-method","display_name":"Inductive method","score":0.4124141335487366},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3658342957496643},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17953869700431824},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10812440514564514},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.10130971670150757}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.901320219039917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7667319774627686},{"id":"https://openalex.org/C197352929","wikidata":"https://www.wikidata.org/wiki/Q1074074","display_name":"Inductive bias","level":4,"score":0.6855231523513794},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5962604880332947},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49120110273361206},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4456687867641449},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.4445209801197052},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4316237270832062},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4283805191516876},{"id":"https://openalex.org/C87465248","wikidata":"https://www.wikidata.org/wiki/Q1417790","display_name":"Minimum description length","level":2,"score":0.41748228669166565},{"id":"https://openalex.org/C2993131915","wikidata":"https://www.wikidata.org/wiki/Q484511","display_name":"Inductive method","level":3,"score":0.4124141335487366},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3658342957496643},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17953869700431824},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10812440514564514},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.10130971670150757},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.0},{"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/C88610354","wikidata":"https://www.wikidata.org/wiki/Q1813494","display_name":"Teaching method","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/3-540-61863-5_47","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-61863-5_47","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.30.7525","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.30.7525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://lelpc1.irb.hr/Gamberger/papers/alt96a.ps","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W46929234","https://openalex.org/W231485458","https://openalex.org/W1510599555","https://openalex.org/W1527599648","https://openalex.org/W1570286060","https://openalex.org/W1591780876","https://openalex.org/W1596324102","https://openalex.org/W1602363634","https://openalex.org/W1604329830","https://openalex.org/W1927345150","https://openalex.org/W1989789749","https://openalex.org/W1999011285","https://openalex.org/W1999138184","https://openalex.org/W2032427901","https://openalex.org/W2054658115","https://openalex.org/W2075038844","https://openalex.org/W2111221376","https://openalex.org/W2128420091","https://openalex.org/W2136000097","https://openalex.org/W2142334564","https://openalex.org/W2158292827","https://openalex.org/W2299206432","https://openalex.org/W2345645321","https://openalex.org/W4206478455","https://openalex.org/W4235570552","https://openalex.org/W4236310305","https://openalex.org/W6630563389","https://openalex.org/W6636148055","https://openalex.org/W6640603780","https://openalex.org/W6666083373","https://openalex.org/W6816437394"],"related_works":["https://openalex.org/W2130372067","https://openalex.org/W2240452364","https://openalex.org/W3161120485","https://openalex.org/W4220972140","https://openalex.org/W1969387362","https://openalex.org/W3172936821","https://openalex.org/W4225271882","https://openalex.org/W2810330923","https://openalex.org/W4289763776","https://openalex.org/W2978625989"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
