{"id":"https://openalex.org/W1594451427","doi":"https://doi.org/10.1007/3-540-44938-8_4","title":"An Empirical Comparison of Three Boosting Algorithms on Real Data Sets with Artificial Class Noise","display_name":"An Empirical Comparison of Three Boosting Algorithms on Real Data Sets with Artificial Class Noise","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W1594451427","doi":"https://doi.org/10.1007/3-540-44938-8_4","mag":"1594451427"},"language":"en","primary_location":{"id":"doi:10.1007/3-540-44938-8_4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-44938-8_4","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/A5010240295","display_name":"R. Allen McDonald","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ross A. McDonald","raw_affiliation_strings":["Imperial College London, London","Imperial College London,#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London, London","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Imperial College London,#TAB#","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033380454","display_name":"David J. Hand","orcid":"https://orcid.org/0000-0002-4649-5622"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"David J. Hand","raw_affiliation_strings":["Imperial College London, London","Imperial College London,#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London, London","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Imperial College London,#TAB#","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041082173","display_name":"Idris A. Eckley","orcid":"https://orcid.org/0000-0001-9957-2460"},"institutions":[{"id":"https://openalex.org/I4210164678","display_name":"Shell (United Kingdom)","ror":"https://ror.org/05p330p21","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210164678","https://openalex.org/I7923278"]},{"id":"https://openalex.org/I7923278","display_name":"Shell (Netherlands)","ror":"https://ror.org/00b5m4j81","country_code":"NL","type":"company","lineage":["https://openalex.org/I7923278"]}],"countries":["GB","NL"],"is_corresponding":false,"raw_author_name":"Idris A. Eckley","raw_affiliation_strings":["Shell Research Ltd, UK","Shell Research Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shell Research Ltd, UK","institution_ids":["https://openalex.org/I4210164678"]},{"raw_affiliation_string":"Shell Research Ltd","institution_ids":["https://openalex.org/I7923278"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.3824,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":{"value":0.81390977,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"35","last_page":"44"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9976000189781189,"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":0.9976000189781189,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9959999918937683,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9952999949455261,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.8704147934913635},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7812286019325256},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7420400381088257},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7052187323570251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6974117159843445},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.684876024723053},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6488810181617737},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.4985363483428955},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4743446409702301},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.44008713960647583},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.08075526356697083}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.8704147934913635},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7812286019325256},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7420400381088257},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7052187323570251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6974117159843445},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.684876024723053},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6488810181617737},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.4985363483428955},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4743446409702301},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.44008713960647583},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.08075526356697083}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/3-540-44938-8_4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-44938-8_4","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:10.1.1.12.626","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.12.626","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.maths.bris.ac.uk/~maiae/papers/cotba.ps","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1496929357","https://openalex.org/W1570592793","https://openalex.org/W1594031697","https://openalex.org/W1605688901","https://openalex.org/W1825418647","https://openalex.org/W1931284523","https://openalex.org/W1966280301","https://openalex.org/W1975846642","https://openalex.org/W1988790447","https://openalex.org/W2019363670","https://openalex.org/W2024046085","https://openalex.org/W2032210760","https://openalex.org/W2070534370","https://openalex.org/W2093717447","https://openalex.org/W2101276256","https://openalex.org/W2125055259","https://openalex.org/W2145073242","https://openalex.org/W2152761983","https://openalex.org/W2335925837","https://openalex.org/W2797114046","https://openalex.org/W3034905139","https://openalex.org/W3085162807","https://openalex.org/W3165241807","https://openalex.org/W4244952642","https://openalex.org/W4248437541","https://openalex.org/W4285719527","https://openalex.org/W4298186428","https://openalex.org/W6655142800","https://openalex.org/W6661953458","https://openalex.org/W6681651645","https://openalex.org/W6682672841","https://openalex.org/W6796017329","https://openalex.org/W6843735874","https://openalex.org/W7045962580"],"related_works":["https://openalex.org/W2393964553","https://openalex.org/W2327035729","https://openalex.org/W2348748958","https://openalex.org/W3039673966","https://openalex.org/W2121565117","https://openalex.org/W1487831638","https://openalex.org/W2884325279","https://openalex.org/W1570592793","https://openalex.org/W1525436954","https://openalex.org/W2385662756"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
