{"id":"https://openalex.org/W2149780536","doi":"https://doi.org/10.1109/ijcnn.2003.1223438","title":"Discrete feature weighting & selection algorithm","display_name":"Discrete feature weighting & selection algorithm","publication_year":2004,"publication_date":"2004-02-03","ids":{"openalex":"https://openalex.org/W2149780536","doi":"https://doi.org/10.1109/ijcnn.2003.1223438","mag":"2149780536"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2003.1223438","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223438","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","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/A5075861710","display_name":"Norbert Jankowski","orcid":null},"institutions":[{"id":"https://openalex.org/I3019271933","display_name":"Nicolaus Copernicus University","ror":"https://ror.org/0102mm775","country_code":"PL","type":"education","lineage":["https://openalex.org/I3019271933"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"N. Jankowski","raw_affiliation_strings":["Department of Informatics, Nicolaus Copernicus University, Torun, Poland"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Nicolaus Copernicus University, Torun, Poland","institution_ids":["https://openalex.org/I3019271933"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5075861710"],"corresponding_institution_ids":["https://openalex.org/I3019271933"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.13246489,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"636","last_page":"641"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9976999759674072,"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/T10320","display_name":"Neural Networks and Applications","score":0.9976999759674072,"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/T10057","display_name":"Face and Expression Recognition","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9854000210762024,"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/weighting","display_name":"Weighting","score":0.9151242971420288},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7764420509338379},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7394452095031738},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.65993332862854},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6245534420013428},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5692192316055298},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5508416891098022},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.5059580206871033},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5012884140014648},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.49964380264282227},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4818378686904907},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.46777549386024475},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2717441916465759},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23330458998680115}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.9151242971420288},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7764420509338379},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7394452095031738},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.65993332862854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6245534420013428},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5692192316055298},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5508416891098022},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.5059580206871033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5012884140014648},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.49964380264282227},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4818378686904907},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.46777549386024475},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2717441916465759},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23330458998680115},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2003.1223438","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223438","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W29273613","https://openalex.org/W35644471","https://openalex.org/W138217685","https://openalex.org/W1523738681","https://openalex.org/W1554663460","https://openalex.org/W1559570474","https://openalex.org/W1600259982","https://openalex.org/W1630228728","https://openalex.org/W1700821812","https://openalex.org/W1819745531","https://openalex.org/W2025357764","https://openalex.org/W2084812512","https://openalex.org/W2109638028","https://openalex.org/W2115881908","https://openalex.org/W2122111042","https://openalex.org/W2133462743","https://openalex.org/W2138525317","https://openalex.org/W2142334564","https://openalex.org/W2982720039","https://openalex.org/W4388297464","https://openalex.org/W6601161485","https://openalex.org/W6605609575","https://openalex.org/W6633408921","https://openalex.org/W6635802860","https://openalex.org/W6638569132","https://openalex.org/W6676529941","https://openalex.org/W6677537234","https://openalex.org/W6680782707","https://openalex.org/W6769814042"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2108418243","https://openalex.org/W2127804977","https://openalex.org/W164103134","https://openalex.org/W2787352659","https://openalex.org/W2378211422","https://openalex.org/W394483113","https://openalex.org/W85029034"],"abstract_inverted_index":{"A":[0],"new":[1],"method":[2],"of":[3,33],"feature":[4,9,49],"weighting,":[5],"useful":[6],"also":[7],"for":[8,51],"selection":[10],"has":[11],"been":[12],"described.":[13],"It":[14],"is":[15],"quite":[16,20],"efficient":[17],"and":[18],"gives":[19],"accurate":[21],"results.":[22],"In":[23],"general":[24],"weighting":[25,37],"algorithm":[26,38,60],"may":[27],"be":[28],"used":[29,44],"with":[30,39,58],"any":[31],"kind":[32],"learning":[34],"algorithm.":[35],"The":[36],"k-nearest":[40],"neighbors":[41],"model":[42],"was":[43],"to":[45],"estimate":[46],"the":[47],"optimal":[48],"base":[50],"a":[52],"given":[53],"distance":[54],"measure.":[55],"Results":[56],"obtained":[57],"this":[59],"clearly":[61],"show":[62],"its":[63],"superior":[64],"performance":[65],"in":[66],"several":[67],"benchmark":[68],"tests.":[69]},"counts_by_year":[{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}