{"id":"https://openalex.org/W1567649426","doi":"https://doi.org/10.1109/ijcnn.2005.1556167","title":"Pruning support vectors for imbalanced data classification","display_name":"Pruning support vectors for imbalanced data classification","publication_year":2006,"publication_date":"2006-01-05","ids":{"openalex":"https://openalex.org/W1567649426","doi":"https://doi.org/10.1109/ijcnn.2005.1556167","mag":"1567649426"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2005.1556167","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1556167","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100736153","display_name":"Xuewen Chen","orcid":"https://orcid.org/0000-0001-7476-591X"},"institutions":[{"id":"https://openalex.org/I146416000","display_name":"University of Kansas","ror":"https://ror.org/001tmjg57","country_code":"US","type":"education","lineage":["https://openalex.org/I146416000"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xue-wen Chen","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KS, USA","Dept. of Electr. Eng. & Comput. Sci., Kansas Univ., Lawrence, KS, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KS, USA","institution_ids":["https://openalex.org/I146416000"]},{"raw_affiliation_string":"Dept. of Electr. Eng. & Comput. Sci., Kansas Univ., Lawrence, KS, USA#TAB#","institution_ids":["https://openalex.org/I146416000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075071946","display_name":"Byron Gerlach","orcid":null},"institutions":[{"id":"https://openalex.org/I146416000","display_name":"University of Kansas","ror":"https://ror.org/001tmjg57","country_code":"US","type":"education","lineage":["https://openalex.org/I146416000"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"B. Gerlach","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KS, USA","Dept. of Electr. Eng. & Comput. Sci., Kansas Univ., Lawrence, KS, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KS, USA","institution_ids":["https://openalex.org/I146416000"]},{"raw_affiliation_string":"Dept. of Electr. Eng. & Comput. Sci., Kansas Univ., Lawrence, KS, USA#TAB#","institution_ids":["https://openalex.org/I146416000"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067305668","display_name":"David Casasent","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Casasent","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9542,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.85981053,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"3","issue":null,"first_page":"1883","last_page":"1888"},"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":0.9948999881744385,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9746999740600586,"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/pruning","display_name":"Pruning","score":0.8456616997718811},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7550333738327026},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7343839406967163},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7246434688568115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6971790194511414},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6148473620414734},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4487876892089844},{"id":"https://openalex.org/keywords/structured-support-vector-machine","display_name":"Structured support vector machine","score":0.4222026467323303},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35841381549835205}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.8456616997718811},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7550333738327026},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7343839406967163},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7246434688568115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6971790194511414},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6148473620414734},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4487876892089844},{"id":"https://openalex.org/C125168437","wikidata":"https://www.wikidata.org/wiki/Q7625184","display_name":"Structured support vector machine","level":3,"score":0.4222026467323303},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35841381549835205},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2005.1556167","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1556167","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.89.2767","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.89.2767","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ittc.ku.edu/~xwchen/papers/IJCNN_inbalanceDta.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"},{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W142793689","https://openalex.org/W145450961","https://openalex.org/W167016754","https://openalex.org/W1503432700","https://openalex.org/W1515026043","https://openalex.org/W1517113043","https://openalex.org/W1581406946","https://openalex.org/W1589187426","https://openalex.org/W1601740268","https://openalex.org/W1605695115","https://openalex.org/W1607624180","https://openalex.org/W1941659294","https://openalex.org/W2006468273","https://openalex.org/W2023244747","https://openalex.org/W2058732827","https://openalex.org/W2079439844","https://openalex.org/W2096475783","https://openalex.org/W2148143831","https://openalex.org/W2148603752","https://openalex.org/W2169774819","https://openalex.org/W4232122439","https://openalex.org/W6605806949","https://openalex.org/W6605907934","https://openalex.org/W6606837198","https://openalex.org/W6630210095","https://openalex.org/W6634563840","https://openalex.org/W6636119465","https://openalex.org/W6682141768"],"related_works":["https://openalex.org/W1948992892","https://openalex.org/W2186666570","https://openalex.org/W2104936869","https://openalex.org/W2143867687","https://openalex.org/W4253128984","https://openalex.org/W2384390720","https://openalex.org/W2122277321","https://openalex.org/W2565312173","https://openalex.org/W2364362706","https://openalex.org/W2104406636"],"abstract_inverted_index":{"In":[0],"many":[1],"practical":[2],"applications,":[3],"learning":[4,19],"from":[5],"imbalanced":[6,46],"data":[7,47,69],"poses":[8],"a":[9,42],"significant":[10],"challenge":[11],"that":[12,27],"is":[13,52],"increasingly":[14],"faced":[15],"by":[16],"the":[17,72,75],"machine":[18,57],"community.":[20],"The":[21,49,63],"class":[22,37],"imbalance":[23],"problem":[24],"raises":[25],"issues":[26],"are":[28],"either":[29],"nonexistent":[30],"or":[31],"less":[32],"severe":[33],"compared":[34],"to":[35],"balanced":[36],"cases.":[38],"This":[39],"paper":[40],"presents":[41],"new":[43,76],"method":[44,51],"for":[45],"classification.":[48],"proposed":[50],"based":[53],"on":[54,67],"support":[55],"vector":[56],"classifiers":[58],"and":[59],"backward":[60],"pruning":[61],"technique.":[62],"experimental":[64],"results":[65],"obtained":[66],"two":[68],"sets":[70],"demonstrate":[71],"effectiveness":[73],"of":[74],"algorithm.":[77]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":8}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
