乐胖代购免代理版

{"id":"https://openalex.org/W1877786531","doi":"https://doi.org/10.1504/ijsn.2015.070418","title":"Using Bayesian posterior probability in confidence of attributes for feature selection","display_name":"Using Bayesian posterior probability in confidence of attributes for feature selection","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W1877786531","doi":"https://doi.org/10.1504/ijsn.2015.070418","mag":"1877786531"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijsn.2015.070418","pdf_url":null,"source":{"id":"https://openalex.org/S146340630","display_name":"International Journal of Security and Networks","issn_l":"1747-8405","issn":["1747-8405","1747-8413"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5045985967","display_name":"In-Kyoo Park","orcid":null},"institutions":[{"id":"https://openalex.org/I3131463087","display_name":"Joongbu University","ror":"https://ror.org/020db1e56","country_code":"KR","type":"education","lineage":["https://openalex.org/I3131463087"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Inkyoo Park","raw_affiliation_strings":["Department of Computer Science, Joongbu University, ChungNam, 312-702, South Korea#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Joongbu University, ChungNam, 312-702, South Korea#TAB#","institution_ids":["https://openalex.org/I3131463087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101699371","display_name":"Jongjin Park","orcid":"https://orcid.org/0000-0002-2629-5893"},"institutions":[{"id":"https://openalex.org/I23077957","display_name":"Chungwoon University","ror":"https://ror.org/03016c374","country_code":"KR","type":"education","lineage":["https://openalex.org/I23077957"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jongjin Park","raw_affiliation_strings":["Department of Internet, Chungwoon University, Incheon, 402-803, South Korea#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Internet, Chungwoon University, Incheon, 402-803, South Korea#TAB#","institution_ids":["https://openalex.org/I23077957"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046419970","display_name":"Gyoo-Seok Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I23077957","display_name":"Chungwoon University","ror":"https://ror.org/03016c374","country_code":"KR","type":"education","lineage":["https://openalex.org/I23077957"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Gyooseok Choi","raw_affiliation_strings":["Department of Computer Science, Chungwoon University, Incheon, 402-803, South Korea#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Chungwoon University, Incheon, 402-803, South Korea#TAB#","institution_ids":["https://openalex.org/I23077957"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":66},"biblio":{"volume":"10","issue":"2","first_page":"84","last_page":"84"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9752,"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9223,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reduct","display_name":"Reduct","score":0.8130969},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness","score":0.5080881},{"id":"https://openalex.org/keywords/vagueness","display_name":"Vagueness","score":0.48597515}],"concepts":[{"id":"https://openalex.org/C69177213","wikidata":"https://www.wikidata.org/wiki/Q12880812","display_name":"Reduct","level":3,"score":0.8130969},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.7857278},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.74326754},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.64737487},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.592189},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.53549767},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5180147},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5080881},{"id":"https://openalex.org/C2776825360","wikidata":"https://www.wikidata.org/wiki/Q1411921","display_name":"Vagueness","level":3,"score":0.48597515},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46793148},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.44471407},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4409469},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42648792},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.40782297},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.1942406},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.078187436},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijsn.2015.070418","pdf_url":null,"source":{"id":"https://openalex.org/S146340630","display_name":"International Journal of Security and Networks","issn_l":"1747-8405","issn":["1747-8405","1747-8413"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.74,"display_name":"Peace, justice, and strong institutions","id":"https://metadata.un.org/sdg/16"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":11,"referenced_works":["https://openalex.org/W1595066706","https://openalex.org/W1834568680","https://openalex.org/W1903938543","https://openalex.org/W1964980811","https://openalex.org/W2029307344","https://openalex.org/W2078376232","https://openalex.org/W2097923398","https://openalex.org/W2130367040","https://openalex.org/W2365382545","https://openalex.org/W908863221","https://openalex.org/W954549890"],"related_works":["https://openalex.org/W831516024","https://openalex.org/W2393055956","https://openalex.org/W2376860763","https://openalex.org/W2369301332","https://openalex.org/W2163171169","https://openalex.org/W2101726329","https://openalex.org/W2077183117","https://openalex.org/W2010504013","https://openalex.org/W1975980892","https://openalex.org/W1880013533"],"abstract_inverted_index":{"Rough":[0],"set":[1],"theory":[2],"is":[3,57,90,107],"an":[4],"efficient":[5],"reduction":[6,86],"technique":[7],"to":[8,29,59,94],"deal":[9],"with":[10,64,115,128],"vagueness":[11],"and":[12,42,99,135],"uncertainty.":[13],"Many":[14],"studies":[15],"have":[16,25,139],"been":[17,26,140],"accomplished":[18],"for":[19],"the":[20,32,40,61,65,69,72,85,96,100,105,129,132,136,144],"feature":[21,36,147],"selection":[22,37,148],"while":[23],"they":[24],"carried":[27,141],"out":[28,142],"trade":[30],"off":[31],"sophisticated":[33],"process":[34,145],"of":[35,44,68,87,104,131,146],"algorithm":[38,81],"against":[39],"robustness":[41],"accuracy":[43],"reducts.":[45],"In":[46],"this":[47],"paper,":[48],"a":[49,76],"new":[50,77],"Bayesian":[51],"posterior":[52],"probability-based":[53],"QuickReduct":[54,80],"(BPPQR)":[55],"measure":[56],"introduced":[58],"determine":[60],"optimal":[62,97],"attributes":[63,89],"accurate":[66],"strength":[67],"association":[70],"among":[71],"indiscernible":[73],"subsets.":[74],"Therefore,":[75],"rough":[78],"entropy-based":[79],"which":[82],"focuses":[83],"on":[84,111],"redundant":[88],"proposed":[91,123],"in":[92,109,117,143,149],"order":[93],"extract":[95],"reduct":[98],"core.":[101],"The":[102,122],"performance":[103],"system":[106],"evaluated":[108],"MATLAB":[110],"several":[112],"benchmark":[113],"datasets":[114],"resides":[116],"UCI":[118],"machine":[119],"learning":[120],"repository.":[121],"heuristic":[124],"approach":[125],"can":[126],"cope":[127],"drawbacks":[130],"conventional":[133],"one,":[134],"satisfying":[137],"performances":[138],"decision":[150],"systems.":[151]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1877786531","counts_by_year":[],"updated_date":"2024-12-08T20:52:39.561416","created_date":"2016-06-24"}