{"id":"https://openalex.org/W2737495615","doi":"https://doi.org/10.1007/978-3-319-63315-2_33","title":"An Effective Sampling Strategy for Ensemble Learning with Imbalanced Data","display_name":"An Effective Sampling Strategy for Ensemble Learning with Imbalanced Data","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2737495615","doi":"https://doi.org/10.1007/978-3-319-63315-2_33","mag":"2737495615"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-63315-2_33","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-63315-2_33","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/A5100374145","display_name":"Chen Zhang","orcid":"https://orcid.org/0000-0002-8558-6543"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chen Zhang","raw_affiliation_strings":["Intelligent Information Processing and Real-Time Industrial Systems Hubei Province Key Laboratory, Wuhan, 430065, China","School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, 430065, China"],"affiliations":[{"raw_affiliation_string":"Intelligent Information Processing and Real-Time Industrial Systems Hubei Province Key Laboratory, Wuhan, 430065, China","institution_ids":["https://openalex.org/I43922553"]},{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, 430065, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100395673","display_name":"Xiaolong Zhang","orcid":"https://orcid.org/0000-0001-5615-2044"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Zhang","raw_affiliation_strings":["Intelligent Information Processing and Real-Time Industrial Systems Hubei Province Key Laboratory, Wuhan, 430065, China","School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, 430065, China"],"affiliations":[{"raw_affiliation_string":"Intelligent Information Processing and Real-Time Industrial Systems Hubei Province Key Laboratory, Wuhan, 430065, China","institution_ids":["https://openalex.org/I43922553"]},{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, 430065, China","institution_ids":["https://openalex.org/I43922553"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100374145"],"corresponding_institution_ids":["https://openalex.org/I43922553"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.2826,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56519497,"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":"377","last_page":"388"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T13429","display_name":"Electricity Theft Detection Techniques","score":0.9829999804496765,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9822999835014343,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8458659648895264},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.7797878980636597},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6973523497581482},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6889607310295105},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6835562586784363},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6331278681755066},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5680484771728516},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5313323736190796},{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.4742538034915924},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4615514278411865},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45440006256103516},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4154619872570038}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8458659648895264},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.7797878980636597},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6973523497581482},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6889607310295105},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6835562586784363},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6331278681755066},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5680484771728516},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5313323736190796},{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.4742538034915924},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4615514278411865},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45440006256103516},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4154619872570038},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"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/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-63315-2_33","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-63315-2_33","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"}],"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/W22003769","https://openalex.org/W1496056137","https://openalex.org/W1563938718","https://openalex.org/W1580049798","https://openalex.org/W1987859285","https://openalex.org/W1988790447","https://openalex.org/W2002276939","https://openalex.org/W2053724458","https://openalex.org/W2056601071","https://openalex.org/W2074888575","https://openalex.org/W2091007025","https://openalex.org/W2093717447","https://openalex.org/W2094686600","https://openalex.org/W2096451472","https://openalex.org/W2096945460","https://openalex.org/W2123458540","https://openalex.org/W2132791018","https://openalex.org/W2148143831","https://openalex.org/W2155653793","https://openalex.org/W2325424990","https://openalex.org/W2371111429","https://openalex.org/W2379852483"],"related_works":["https://openalex.org/W4382315444","https://openalex.org/W4233259193","https://openalex.org/W2600353413","https://openalex.org/W4390916549","https://openalex.org/W2915435096","https://openalex.org/W4381298925","https://openalex.org/W4285213578","https://openalex.org/W2097856925","https://openalex.org/W1997565450","https://openalex.org/W4298012357"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
