{"id":"https://openalex.org/W4381389904","doi":"https://doi.org/10.1145/3587828.3587854","title":"Improved Classification Accuracy by Feature Selection using Adaptive Support Method","display_name":"Improved Classification Accuracy by Feature Selection using Adaptive Support Method","publication_year":2023,"publication_date":"2023-02-23","ids":{"openalex":"https://openalex.org/W4381389904","doi":"https://doi.org/10.1145/3587828.3587854"},"language":"en","primary_location":{"id":"doi:10.1145/3587828.3587854","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3587828.3587854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 12th International Conference on Software and Computer Applications","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/A5047644296","display_name":"Erna Hikmawati","orcid":"https://orcid.org/0000-0002-6162-5341"},"institutions":[{"id":"https://openalex.org/I134635517","display_name":"Bandung Institute of Technology","ror":"https://ror.org/00apj8t60","country_code":"ID","type":"education","lineage":["https://openalex.org/I134635517"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Erna Hikmawati","raw_affiliation_strings":["School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Indonesia"],"raw_orcid":"https://orcid.org/0000-0002-6162-5341","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Indonesia","institution_ids":["https://openalex.org/I134635517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017613002","display_name":"Nur Ulfa Maulidevi","orcid":"https://orcid.org/0000-0001-6624-4153"},"institutions":[{"id":"https://openalex.org/I134635517","display_name":"Bandung Institute of Technology","ror":"https://ror.org/00apj8t60","country_code":"ID","type":"education","lineage":["https://openalex.org/I134635517"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Nur Ulfa Maulidevi","raw_affiliation_strings":["School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Indonesia"],"raw_orcid":"https://orcid.org/0000-0001-6624-4153","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Indonesia","institution_ids":["https://openalex.org/I134635517"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071778708","display_name":"Kridanto Surendro","orcid":"https://orcid.org/0000-0003-1705-1202"},"institutions":[{"id":"https://openalex.org/I134635517","display_name":"Bandung Institute of Technology","ror":"https://ror.org/00apj8t60","country_code":"ID","type":"education","lineage":["https://openalex.org/I134635517"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Kridanto Surendro","raw_affiliation_strings":["School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Indonesia"],"raw_orcid":"https://orcid.org/0000-0003-1705-1202","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Indonesia","institution_ids":["https://openalex.org/I134635517"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047644296"],"corresponding_institution_ids":["https://openalex.org/I134635517"],"apc_list":null,"apc_paid":null,"fwci":1.3453,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.84403624,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"171","last_page":"176"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9868999719619751,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9854999780654907,"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/feature-selection","display_name":"Feature selection","score":0.7682027220726013},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7291967272758484},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6401102542877197},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6324289441108704},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.6313918828964233},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.6135576963424683},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5958818793296814},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5421910881996155},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.526676595211029},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43609803915023804},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39369869232177734},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38892850279808044}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7682027220726013},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7291967272758484},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6401102542877197},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6324289441108704},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.6313918828964233},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.6135576963424683},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5958818793296814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5421910881996155},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.526676595211029},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43609803915023804},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39369869232177734},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38892850279808044},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3587828.3587854","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3587828.3587854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 12th International Conference on Software and Computer Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1984774148","https://openalex.org/W1986572138","https://openalex.org/W2060647093","https://openalex.org/W2067102178","https://openalex.org/W2072750586","https://openalex.org/W2098910351","https://openalex.org/W2202354425","https://openalex.org/W2337669931","https://openalex.org/W2516647831","https://openalex.org/W2587325413","https://openalex.org/W2769275778","https://openalex.org/W2899407706","https://openalex.org/W2961234535","https://openalex.org/W3012280610","https://openalex.org/W3023072637","https://openalex.org/W3034399891","https://openalex.org/W3130630330","https://openalex.org/W3160478459","https://openalex.org/W3168319761","https://openalex.org/W3216756544","https://openalex.org/W4213130781","https://openalex.org/W4255453707","https://openalex.org/W4280587730","https://openalex.org/W4283072979","https://openalex.org/W4283660779","https://openalex.org/W4285147065","https://openalex.org/W4285386430","https://openalex.org/W4285803790","https://openalex.org/W4289936402","https://openalex.org/W4293428371"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W3092506759","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W120741642","https://openalex.org/W138569904","https://openalex.org/W2390914021","https://openalex.org/W2389417819"],"abstract_inverted_index":{"The":[0,41],"explosion":[1],"of":[2,18,43,53,80,131,169],"data":[3,44],"which":[4,24,54],"is":[5,55,71,77,87,92,144,156,183],"happening":[6],"now":[7],"must":[8],"be":[9,31,47,111],"utilized":[10],"to":[11,30,37,49,94,121,158,209],"support":[12,149,154,162,182,205],"decision":[13],"making":[14],"both":[15],"in":[16,35,103,139],"terms":[17],"business":[19],"and":[20,33,74,101,128,195],"other":[21],"matters.":[22],"Data":[23],"are":[25,206],"becoming":[26],"assets":[27],"today":[28],"needs":[29],"analyzed":[32],"extracted":[34],"order":[36],"find":[38],"valuable":[39],"information.":[40],"results":[42,189],"analysis":[45,76],"can":[46,109],"used":[48],"make":[50],"predictions,":[51],"one":[52],"classification.":[56],"For":[57],"high":[58],"dimensions":[59],"data,":[60],"we":[61],"require":[62],"preprocessing":[63,82],"stage":[64],"so":[65],"that":[66,84],"the":[67,75,81,99,104,115,123,129,137,141,147,160,167,170,187,193,199,210],"model":[68],"building":[69],"process":[70],"not":[72],"complex":[73],"accurate.":[78],"One":[79],"stages":[83],"need":[85],"attention":[86],"feature":[88,107,177,200],"selection.":[89],"Feature":[90],"selection":[91,108,178,201],"applied":[93],"reduce":[95],"features":[96],"without":[97],"diminishing":[98],"accuracy":[100,194],"information":[102],"data.":[105],"Performing":[106],"also":[110],"done":[112],"by":[113],"using":[114,180,190,203],"association":[116,124,142],"rule.":[117],"Association":[118],"rule":[119,143],"refers":[120],"considering":[122],"relationship":[125],"between":[126],"items":[127,132],"frequency":[130],"occurrence":[133],"as":[134],"features.":[135],"However,":[136],"obstacle":[138],"implementing":[140],"when":[145],"determining":[146],"minimum":[148,161],"value.":[150],"Therefore,":[151],"an":[152],"adaptive":[153,181,204],"method":[155,179,202],"proposed":[157],"determine":[159],"value":[163],"automatically":[164],"based":[165],"on":[166,186],"characteristics":[168],"dataset.":[171],"In":[172],"this":[173],"present":[174],"study,":[175],"a":[176],"proposed.":[184],"Based":[185],"experimental":[188],"3":[191],"classifiers,":[192],"F1-Score":[196],"values":[197],"for":[198],"higher":[207],"compared":[208],"Information":[211],"gain":[212],"method.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}