{"id":"https://openalex.org/W1495395110","doi":"https://doi.org/10.1007/978-3-540-72523-7_17","title":"Boosting Lite \u2013 Handling Larger Datasets and Slower Base Classifiers","display_name":"Boosting Lite \u2013 Handling Larger Datasets and Slower Base Classifiers","publication_year":2007,"publication_date":"2007-06-21","ids":{"openalex":"https://openalex.org/W1495395110","doi":"https://doi.org/10.1007/978-3-540-72523-7_17","mag":"1495395110"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-540-72523-7_17","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-72523-7_17","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/A5000168449","display_name":"Lawrence Hall","orcid":"https://orcid.org/0000-0002-7898-8456"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lawrence O. Hall","raw_affiliation_strings":["Department of Computer Science & Engineering, University of South Florida, Tampa, Florida 33620-5399, \u00a0","Department of Computer Science & Engineering, University of South Florida Tampa, Florida,"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of South Florida, Tampa, Florida 33620-5399, \u00a0","institution_ids":["https://openalex.org/I2613432"]},{"raw_affiliation_string":"Department of Computer Science & Engineering, University of South Florida Tampa, Florida,","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047680745","display_name":"Robert E. Banfield","orcid":null},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert E. Banfield","raw_affiliation_strings":["Department of Computer Science & Engineering, University of South Florida, Tampa, Florida 33620-5399, \u00a0","Department of Computer Science & Engineering, University of South Florida Tampa, Florida,"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of South Florida, Tampa, Florida 33620-5399, \u00a0","institution_ids":["https://openalex.org/I2613432"]},{"raw_affiliation_string":"Department of Computer Science & Engineering, University of South Florida Tampa, Florida,","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019673624","display_name":"Kevin W. Bowyer","orcid":"https://orcid.org/0000-0002-7562-4390"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin W. Bowyer","raw_affiliation_strings":["Computer Science & Engineering, 384 Fitzpatrick Hall, Notre Dame, IN 46556, \u00a0","Computer Science & Engineering, Notre Dame, IN#TAB#"],"affiliations":[{"raw_affiliation_string":"Computer Science & Engineering, 384 Fitzpatrick Hall, Notre Dame, IN 46556, \u00a0","institution_ids":["https://openalex.org/I107639228"]},{"raw_affiliation_string":"Computer Science & Engineering, Notre Dame, IN#TAB#","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047122075","display_name":"W. Philip Kegelmeyer","orcid":null},"institutions":[{"id":"https://openalex.org/I192454743","display_name":"Sandia National Laboratories California","ror":"https://ror.org/058m7ey48","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1330989302","https://openalex.org/I192454743","https://openalex.org/I198811213","https://openalex.org/I198811213","https://openalex.org/I4210104735"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"W. Philip Kegelmeyer","raw_affiliation_strings":["Sandia National Labs, Computational Sciences and Math Research Department, PO Box 969, MS 9159, \u00a0","Sandia National Labs, Computational Sciences and Math Research Department"],"affiliations":[{"raw_affiliation_string":"Sandia National Labs, Computational Sciences and Math Research Department, PO Box 969, MS 9159, \u00a0","institution_ids":["https://openalex.org/I192454743"]},{"raw_affiliation_string":"Sandia National Labs, Computational Sciences and Math Research Department","institution_ids":["https://openalex.org/I192454743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000168449"],"corresponding_institution_ids":["https://openalex.org/I2613432"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.2286,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.50401955,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"161","last_page":"170"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9976999759674072,"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":0.9941999912261963,"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/boosting","display_name":"Boosting (machine learning)","score":0.9493948817253113},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6227625012397766},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6065269112586975},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6023786664009094},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5915428400039673},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.589677095413208},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4825000762939453},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.48212409019470215},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4527072310447693},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43390440940856934},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.43304044008255005},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4143238961696625},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.18380555510520935}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.9493948817253113},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6227625012397766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6065269112586975},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6023786664009094},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5915428400039673},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.589677095413208},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4825000762939453},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.48212409019470215},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4527072310447693},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43390440940856934},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.43304044008255005},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4143238961696625},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.18380555510520935}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/978-3-540-72523-7_17","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-72523-7_17","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:10.1.1.119.8701","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.119.8701","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cse.nd.edu/~kwb/HallBanfieldBowyerKegelmeyerMCS_2007.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.78.7625","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.78.7625","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.csee.usf.edu/~hall/papers/mcs2007a.pdf","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":13,"referenced_works":["https://openalex.org/W1494785368","https://openalex.org/W1540371141","https://openalex.org/W1588100052","https://openalex.org/W1637435380","https://openalex.org/W1800271513","https://openalex.org/W2068405010","https://openalex.org/W2084812512","https://openalex.org/W2120959311","https://openalex.org/W2125055259","https://openalex.org/W2142334564","https://openalex.org/W2148980227","https://openalex.org/W2504693548","https://openalex.org/W2982720039"],"related_works":["https://openalex.org/W2967733078","https://openalex.org/W3204430031","https://openalex.org/W3137904399","https://openalex.org/W4310492845","https://openalex.org/W2885778889","https://openalex.org/W4310224730","https://openalex.org/W2766514146","https://openalex.org/W4289703016","https://openalex.org/W2885516856","https://openalex.org/W4296079469"],"abstract_inverted_index":null,"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}