{"id":"https://openalex.org/W2037315593","doi":"https://doi.org/10.1080/10798587.2012.10643277","title":"New Support Vector Machine for Imbalance Data Classification","display_name":"New Support Vector Machine for Imbalance Data Classification","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W2037315593","doi":"https://doi.org/10.1080/10798587.2012.10643277","mag":"2037315593"},"language":"en","primary_location":{"id":"doi:10.1080/10798587.2012.10643277","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10798587.2012.10643277","pdf_url":null,"source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation & Soft Computing","raw_type":"journal-article"},"type":"article","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/A5100923186","display_name":"Fengqing Han","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fengqing Han","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101801265","display_name":"Ming Lei","orcid":"https://orcid.org/0000-0001-5878-095X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ming Lei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101400632","display_name":"Wenjuan Zhao","orcid":"https://orcid.org/0000-0002-5941-561X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenjuan Zhao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5000275180","display_name":"Jianxi Yang","orcid":"https://orcid.org/0000-0002-3802-3545"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianxi Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.1141249,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"18","issue":"6","first_page":"679","last_page":"686"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9855999946594238,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9855999946594238,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9726999998092651,"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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.9649999737739563,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.9120252132415771},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7286653518676758},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46805068850517273},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46376797556877136},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4238432049751282},{"id":"https://openalex.org/keywords/relevance-vector-machine","display_name":"Relevance vector machine","score":0.4169206917285919}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9120252132415771},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7286653518676758},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46805068850517273},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46376797556877136},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4238432049751282},{"id":"https://openalex.org/C14948415","wikidata":"https://www.wikidata.org/wiki/Q7310972","display_name":"Relevance vector machine","level":3,"score":0.4169206917285919}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10798587.2012.10643277","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10798587.2012.10643277","pdf_url":null,"source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation & Soft Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","score":0.4699999988079071,"display_name":"No poverty"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W85350352","https://openalex.org/W1535842702","https://openalex.org/W1563088657","https://openalex.org/W2136865157","https://openalex.org/W2167793421"],"related_works":["https://openalex.org/W4291214623","https://openalex.org/W1983450045","https://openalex.org/W2168420310","https://openalex.org/W3195168932","https://openalex.org/W2349452475","https://openalex.org/W1996541855","https://openalex.org/W147281455","https://openalex.org/W2390299251","https://openalex.org/W2993844776","https://openalex.org/W2962812124"],"abstract_inverted_index":{"Abstract":[0],"Support":[1],"vector":[2],"machine":[3],"has":[4,16,80],"a":[5,17,41,81],"better":[6],"classification":[7],"and":[8,68],"prediction":[9],"performance":[10,19],"on":[11],"balance":[12,66],"data":[13,37,50,57,67],"classification,":[14],"but":[15],"poor":[18,30],"for":[20],"imbalance":[21,36,49,56],"data.":[22],"In":[23],"this":[24,53],"paper,":[25],"the":[26,29,48,55],"reason":[27],"of":[28],"results":[31],"which":[32],"were":[33],"produced":[34],"by":[35],"is":[38,44,59],"explained.":[39],"And":[40],"new":[42,78],"approach":[43],"proposed":[45],"to":[46,61],"solve":[47],"classification.":[51],"By":[52],"method":[54,79],"problem":[58],"converted":[60],"several":[62],"independent":[63],"classifications":[64],"with":[65],"can":[69],"be":[70],"trained":[71],"in":[72,84],"parallel.":[73],"The":[74],"experiments":[75],"show":[76],"that":[77],"best":[82],"effect":[83],"some":[85],"classifying":[86],"strategy.":[87]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}