{"id":"https://openalex.org/W1990438291","doi":"https://doi.org/10.1145/2393216.2393219","title":"Harmony-based feature selection to improve the nearest neighbor classification","display_name":"Harmony-based feature selection to improve the nearest neighbor classification","publication_year":2012,"publication_date":"2012-10-26","ids":{"openalex":"https://openalex.org/W1990438291","doi":"https://doi.org/10.1145/2393216.2393219","mag":"1990438291"},"language":"en","primary_location":{"id":"doi:10.1145/2393216.2393219","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2393216.2393219","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology","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/A5022646245","display_name":"Ali Adeli","orcid":null},"institutions":[{"id":"https://openalex.org/I93979751","display_name":"Islamic Azad University, Bojnourd Branch","ror":"https://ror.org/00wapyh41","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I93979751"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Ali Adeli","raw_affiliation_strings":["Bojnurd Darolfonoun Technical College, Bojnurd, Iran"],"affiliations":[{"raw_affiliation_string":"Bojnurd Darolfonoun Technical College, Bojnurd, Iran","institution_ids":["https://openalex.org/I93979751"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056499116","display_name":"Mehrnoosh Sinaee","orcid":null},"institutions":[{"id":"https://openalex.org/I170733385","display_name":"University of Applied Science and Technology","ror":"https://ror.org/04r58gt57","country_code":"IR","type":"education","lineage":["https://openalex.org/I170733385"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mehrnoosh Sinaee","raw_affiliation_strings":["University of Applied Science & Technology, Sirjan, Iran"],"affiliations":[{"raw_affiliation_string":"University of Applied Science & Technology, Sirjan, Iran","institution_ids":["https://openalex.org/I170733385"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053961575","display_name":"M. Javad Zomorodian","orcid":"https://orcid.org/0009-0008-5274-6855"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Javad Zomorodian","raw_affiliation_strings":["Shiraz Bahonar Technical College, Shiraz, Iran"],"affiliations":[{"raw_affiliation_string":"Shiraz Bahonar Technical College, Shiraz, Iran","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057442747","display_name":"Mehdi Neshat","orcid":"https://orcid.org/0000-0002-9537-9513"},"institutions":[{"id":"https://openalex.org/I4210120980","display_name":"Islamic Azad University Shirvan Branch","ror":"https://ror.org/02wenm763","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I4210120980"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mehdi Neshat","raw_affiliation_strings":["Islamic Azad University, Shirvan, Iran","Islamic Azad University, Shirvan, Iran#TAB#"],"affiliations":[{"raw_affiliation_string":"Islamic Azad University, Shirvan, Iran","institution_ids":["https://openalex.org/I4210120980"]},{"raw_affiliation_string":"Islamic Azad University, Shirvan, Iran#TAB#","institution_ids":["https://openalex.org/I4210120980"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5022646245"],"corresponding_institution_ids":["https://openalex.org/I93979751"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0699244,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"12","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9868000149726868,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9868000149726868,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9835000038146973,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9815999865531921,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/harmony-search","display_name":"Harmony search","score":0.9179116487503052},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.7279236912727356},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.7020891904830933},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6949841976165771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6824662685394287},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6784440875053406},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5900947451591492},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5753971934318542},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.511690616607666},{"id":"https://openalex.org/keywords/harmony","display_name":"Harmony (color)","score":0.49104905128479004},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.43375590443611145},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38501352071762085},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34147655963897705},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.1627596914768219}],"concepts":[{"id":"https://openalex.org/C33099171","wikidata":"https://www.wikidata.org/wiki/Q26208718","display_name":"Harmony search","level":2,"score":0.9179116487503052},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.7279236912727356},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.7020891904830933},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6949841976165771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6824662685394287},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6784440875053406},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5900947451591492},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5753971934318542},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.511690616607666},{"id":"https://openalex.org/C2776453491","wikidata":"https://www.wikidata.org/wiki/Q5659234","display_name":"Harmony (color)","level":2,"score":0.49104905128479004},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.43375590443611145},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38501352071762085},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34147655963897705},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.1627596914768219},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2393216.2393219","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2393216.2393219","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology","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":26,"referenced_works":["https://openalex.org/W20242457","https://openalex.org/W49486804","https://openalex.org/W61567823","https://openalex.org/W1512383952","https://openalex.org/W1521843029","https://openalex.org/W1586444875","https://openalex.org/W1879009681","https://openalex.org/W1938538487","https://openalex.org/W2014915963","https://openalex.org/W2015191101","https://openalex.org/W2084134149","https://openalex.org/W2084812512","https://openalex.org/W2099239187","https://openalex.org/W2101267652","https://openalex.org/W2102831150","https://openalex.org/W2105405775","https://openalex.org/W2112839782","https://openalex.org/W2115884121","https://openalex.org/W2120216197","https://openalex.org/W2123636872","https://openalex.org/W2129121437","https://openalex.org/W2149780536","https://openalex.org/W2153039034","https://openalex.org/W2165970541","https://openalex.org/W3017143921","https://openalex.org/W3103913776"],"related_works":["https://openalex.org/W2372590961","https://openalex.org/W4214893532","https://openalex.org/W4200117979","https://openalex.org/W4294306415","https://openalex.org/W2027176979","https://openalex.org/W883652255","https://openalex.org/W2028503915","https://openalex.org/W1990438291","https://openalex.org/W1983936910","https://openalex.org/W1970725066"],"abstract_inverted_index":{"A":[0],"new":[1],"approach":[2,13],"for":[3],"feature":[4,37,112],"selection":[5,113],"is":[6,55,92],"presented":[7],"in":[8,102,109],"this":[9],"paper.":[10],"The":[11,39],"proposed":[12,90],"uses":[14],"the":[15,58,61,69,76,79,89,96,105],"Harmony":[16,29,53],"Search":[17,54],"with":[18,104],"a":[19,48],"novel":[20],"fitness":[21],"function":[22,51],"to":[23,36,47,74,94],"eliminate":[24],"noisy":[25],"and":[26,41,119],"irrelevant":[27],"features.":[28],"vectors":[30],"contain":[31],"real":[32],"weights":[33],"which":[34],"refer":[35],"space.":[38],"best":[40],"significant":[42],"features":[43,71],"are":[44,72],"selected":[45,70],"according":[46],"threshold.":[49],"Fitness":[50],"of":[52,68,78,99,111],"based":[56],"on":[57],"Area":[59],"Under":[60],"receiver":[62],"operating":[63],"characteristics":[64],"Curve":[65],"(AUC).":[66],"All":[67],"employed":[73],"improve":[75,95],"classification":[77,97],"k":[80],"Nearest":[81],"Neighbor":[82],"(k-NN)":[83],"classifier.":[84],"Experimental":[85],"results":[86],"claim":[87],"that":[88],"method":[91],"able":[93],"performance":[98],"k-NN":[100],"algorithm":[101],"comparison":[103],"other":[106],"important":[107],"methods":[108],"realm":[110],"such":[114],"as":[115],"BAHSIC,":[116],"FSS,":[117],"BSS":[118],"MFS.":[120]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}