{"id":"https://openalex.org/W1558265424","doi":"https://doi.org/10.1007/978-3-642-21043-3_31","title":"Classifying Severely Imbalanced Data","display_name":"Classifying Severely Imbalanced Data","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W1558265424","doi":"https://doi.org/10.1007/978-3-642-21043-3_31","mag":"1558265424"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-21043-3_31","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-21043-3_31","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/A5039903284","display_name":"William Klement","orcid":"https://orcid.org/0000-0002-9616-8662"},"institutions":[{"id":"https://openalex.org/I858669146","display_name":"Jefferson College","ror":"https://ror.org/04fcaga30","country_code":"US","type":"education","lineage":["https://openalex.org/I858669146"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"William Klement","raw_affiliation_strings":["Thomas Jefferson Medical College, PA, USA","Thomas Jefferson Medical College, PA#TAB#"],"affiliations":[{"raw_affiliation_string":"Thomas Jefferson Medical College, PA, USA","institution_ids":["https://openalex.org/I858669146"]},{"raw_affiliation_string":"Thomas Jefferson Medical College, PA#TAB#","institution_ids":["https://openalex.org/I858669146"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040369618","display_name":"Szymon Wilk","orcid":"https://orcid.org/0000-0002-7807-454X"},"institutions":[{"id":"https://openalex.org/I46597724","display_name":"Pozna\u0144 University of Technology","ror":"https://ror.org/00p7p3302","country_code":"PL","type":"education","lineage":["https://openalex.org/I46597724"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Szymon Wilk","raw_affiliation_strings":["Poznan University of Technology, Poland","Pozna\u0144 University of Technology , Poland"],"affiliations":[{"raw_affiliation_string":"Poznan University of Technology, Poland","institution_ids":["https://openalex.org/I46597724"]},{"raw_affiliation_string":"Pozna\u0144 University of Technology , Poland","institution_ids":["https://openalex.org/I46597724"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003147487","display_name":"Wojtek Michalowski","orcid":"https://orcid.org/0000-0002-9198-6439"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Wojtek Michalowski","raw_affiliation_strings":["Telfer School of Management, Uni. of Ottawa, Canada","Telfer School of Management, Uni. of Ottawa, Canada#TAB#"],"affiliations":[{"raw_affiliation_string":"Telfer School of Management, Uni. of Ottawa, Canada","institution_ids":["https://openalex.org/I153718931"]},{"raw_affiliation_string":"Telfer School of Management, Uni. of Ottawa, Canada#TAB#","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042893723","display_name":"Stan Matwin","orcid":"https://orcid.org/0000-0001-6629-8434"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Stan Matwin","raw_affiliation_strings":["SITE, University of Ottawa, Canada","SITE university of Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"SITE, University of Ottawa, Canada","institution_ids":["https://openalex.org/I153718931"]},{"raw_affiliation_string":"SITE university of Ottawa, Canada","institution_ids":["https://openalex.org/I153718931"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5039903284"],"corresponding_institution_ids":["https://openalex.org/I858669146"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":2.6029,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.90462807,"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":"258","last_page":"264"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","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/T11652","display_name":"Imbalanced Data Classification Techniques","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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9696000218391418,"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/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9621000289916992,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7634923458099365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5655742883682251},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5564930438995361},{"id":"https://openalex.org/keywords/binary-data","display_name":"Binary data","score":0.5223813652992249},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5194941759109497},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4869936406612396},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48537957668304443},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4829806387424469},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4381711781024933},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.43279367685317993},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38942068815231323},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3645767271518707},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3553144931793213},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14462754130363464},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.1157912015914917}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7634923458099365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5655742883682251},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5564930438995361},{"id":"https://openalex.org/C2779190172","wikidata":"https://www.wikidata.org/wiki/Q4913888","display_name":"Binary data","level":3,"score":0.5223813652992249},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5194941759109497},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4869936406612396},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48537957668304443},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4829806387424469},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4381711781024933},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.43279367685317993},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38942068815231323},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3645767271518707},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3553144931793213},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14462754130363464},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1157912015914917},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-642-21043-3_31","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-21043-3_31","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:10.1.1.474.2426","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.474.2426","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ebooks.narotama.ac.id/files/Advances in Artificial Intelligence/Paper 31  Classifying Severely Imbalanced Data.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":22,"referenced_works":["https://openalex.org/W654914693","https://openalex.org/W1513874326","https://openalex.org/W1517113043","https://openalex.org/W1545836098","https://openalex.org/W1556906818","https://openalex.org/W1570448133","https://openalex.org/W1588282782","https://openalex.org/W1925587639","https://openalex.org/W2006488700","https://openalex.org/W2058732827","https://openalex.org/W2084812512","https://openalex.org/W2114537044","https://openalex.org/W2118978333","https://openalex.org/W2123458540","https://openalex.org/W2131123062","https://openalex.org/W2138745909","https://openalex.org/W2142261479","https://openalex.org/W2147834490","https://openalex.org/W2492778706","https://openalex.org/W2500062327","https://openalex.org/W2504693548","https://openalex.org/W2966207845"],"related_works":["https://openalex.org/W2154693897","https://openalex.org/W104621197","https://openalex.org/W2094988397","https://openalex.org/W2018164323","https://openalex.org/W2018596126","https://openalex.org/W2083580028","https://openalex.org/W1980535114","https://openalex.org/W3158472548","https://openalex.org/W2063706985","https://openalex.org/W4233766581"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":5},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}