{"id":"https://openalex.org/W2165970541","doi":"https://doi.org/10.1109/cec.2007.4424960","title":"WAIRS: improving classification accuracy by weighting attributes in the AIRS classifier","display_name":"WAIRS: improving classification accuracy by weighting attributes in the AIRS classifier","publication_year":2007,"publication_date":"2007-09-01","ids":{"openalex":"https://openalex.org/W2165970541","doi":"https://doi.org/10.1109/cec.2007.4424960","mag":"2165970541"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2007.4424960","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2007.4424960","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-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/A5061536215","display_name":"Andrew Secker","orcid":null},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Andrew Secker","raw_affiliation_strings":["Computing Laboratory, University of Kent, Canterbury, UK"],"affiliations":[{"raw_affiliation_string":"Computing Laboratory, University of Kent, Canterbury, UK","institution_ids":["https://openalex.org/I20581793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087201377","display_name":"Alex A. Freitas","orcid":"https://orcid.org/0000-0001-9825-4700"},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alex A. Freitas","raw_affiliation_strings":["Computing Laboratory, University of Kent, Canterbury, UK"],"affiliations":[{"raw_affiliation_string":"Computing Laboratory, University of Kent, Canterbury, UK","institution_ids":["https://openalex.org/I20581793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061536215"],"corresponding_institution_ids":["https://openalex.org/I20581793"],"apc_list":null,"apc_paid":null,"fwci":1.5668,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.83675708,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3759","last_page":"3765"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12391","display_name":"Artificial Immune Systems Applications","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T12576","display_name":"vaccines and immunoinformatics approaches","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7926774621009827},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7710539102554321},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.7373303174972534},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6743885278701782},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.511134684085846},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4238392114639282},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4161857068538666},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4151044487953186}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7926774621009827},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7710539102554321},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7373303174972534},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6743885278701782},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.511134684085846},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4238392114639282},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4161857068538666},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4151044487953186},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cec.2007.4424960","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2007.4424960","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE Congress on Evolutionary Computation","raw_type":"proceedings-article"},{"id":"pmh:oai:kar.kent.ac.uk:14546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/CEC.2007.4424960>)","pdf_url":null,"source":{"id":"https://openalex.org/S4377196264","display_name":"Kent Academic Repository (University of Kent)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20581793","host_organization_name":"University of Kent","host_organization_lineage":["https://openalex.org/I20581793"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"NonPeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W85703684","https://openalex.org/W1481879858","https://openalex.org/W1483055888","https://openalex.org/W1504979306","https://openalex.org/W1505753439","https://openalex.org/W1513366687","https://openalex.org/W1552065463","https://openalex.org/W1585743408","https://openalex.org/W1608549042","https://openalex.org/W1610099415","https://openalex.org/W1678889691","https://openalex.org/W1826259800","https://openalex.org/W1827261456","https://openalex.org/W1865646947","https://openalex.org/W1888254948","https://openalex.org/W1991848143","https://openalex.org/W2004131797","https://openalex.org/W2013148653","https://openalex.org/W2024646871","https://openalex.org/W2067098334","https://openalex.org/W2073598270","https://openalex.org/W2088658068","https://openalex.org/W2099111195","https://openalex.org/W2118144345","https://openalex.org/W2123390388","https://openalex.org/W2124823720","https://openalex.org/W2131890778","https://openalex.org/W2134086158","https://openalex.org/W2147169507","https://openalex.org/W2797846683","https://openalex.org/W2799577315","https://openalex.org/W2913283985","https://openalex.org/W3009784374","https://openalex.org/W3112020351","https://openalex.org/W4244238212","https://openalex.org/W4246969682","https://openalex.org/W4298369778","https://openalex.org/W6628571903","https://openalex.org/W6628798299","https://openalex.org/W6630540995","https://openalex.org/W6635046684","https://openalex.org/W6636336243","https://openalex.org/W6636478343","https://openalex.org/W6678659542"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W1707372784","https://openalex.org/W2096006843"],"abstract_inverted_index":{"AIRS":[0,28,41,143],"(Artificial":[1],"Immune":[2],"Recognition":[3],"System)":[4],"has":[5,14,66],"shown":[6],"itself":[7],"to":[8,17,46,78,113,141],"be":[9,18,79],"a":[10,30,44,47,74,99,123],"competitive":[11],"classifier.":[12,24,49],"It":[13,50],"also":[15],"proved":[16],"the":[19,82,145],"most":[20],"popular":[21],"immune":[22],"inspired":[23],"However,":[25],"rather":[26,68],"than":[27],"being":[29],"classifier":[31],"in":[32,94,144],"its":[33],"own":[34],"right":[35],"as":[36,43,60,73],"previously":[37],"described,":[38],"we":[39],"see":[40],"more":[42],"pre-processor":[45,75],"KNN":[48],"is":[51,132,139],"our":[52],"view":[53],"that":[54,106],"by":[55],"not":[56,90],"explicitly":[57],"classing":[58],"it":[59,72,112],"such":[61,87,104],"development":[62],"of":[63,102,107,147],"this":[64,93,96],"algorithm":[65,117],"been":[67],"held":[69],"back.":[70],"Seeing":[71],"allows":[76],"inspiration":[77],"taken":[80],"from":[81],"machine":[83],"learning":[84],"literature":[85],"where":[86],"pre-processors":[88],"are":[89],"uncommon.":[91],"With":[92],"mind,":[95],"paper":[97],"takes":[98],"core":[100],"feature":[101],"many":[103],"pre-processors,":[105],"attribute":[108],"weighting,":[109],"and":[110,138],"applies":[111],"AIRS.":[114],"The":[115],"resultant":[116],"called":[118],"WAIRS":[119,131],"(Weighted":[120],"AIRS)":[121],"uses":[122],"weighted":[124],"distance":[125],"function":[126],"during":[127],"all":[128],"affinity":[129],"evaluations.":[130],"tested":[133],"on":[134],"9":[135],"benchmark":[136],"datasets":[137],"found":[140],"outperform":[142],"majority":[146],"cases.":[148]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
