{"id":"https://openalex.org/W2270992930","doi":"https://doi.org/10.1142/s0218001416500130","title":"A Double Weighted Naive Bayes with Niching Cultural Algorithm for Multi-Label Classification","display_name":"A Double Weighted Naive Bayes with Niching Cultural Algorithm for Multi-Label Classification","publication_year":2016,"publication_date":"2016-02-24","ids":{"openalex":"https://openalex.org/W2270992930","doi":"https://doi.org/10.1142/s0218001416500130","mag":"2270992930"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001416500130","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001416500130","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/A5000789681","display_name":"Xuesong Yan","orcid":"https://orcid.org/0000-0003-3333-1466"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuesong Yan","raw_affiliation_strings":["School of Computer Science, Chin University of Geosciences, Hubei, Wuhan 430074, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Chin University of Geosciences, Hubei, Wuhan 430074, P. R. China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016939864","display_name":"Qinghua Wu","orcid":"https://orcid.org/0000-0002-0598-8367"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghua Wu","raw_affiliation_strings":["Faculty of Computer Science and Engineering, WuHan Institute of Technology, Hubei, Wuhan 430074, P. R. China"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Engineering, WuHan Institute of Technology, Hubei, Wuhan 430074, P. R. China","institution_ids":["https://openalex.org/I91125648"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051706630","display_name":"Victor S. Sheng","orcid":"https://orcid.org/0000-0003-4960-174X"},"institutions":[{"id":"https://openalex.org/I4210152127","display_name":"Conway School of Landscape Design","ror":"https://ror.org/04q7y8a54","country_code":"US","type":"education","lineage":["https://openalex.org/I4210152127"]},{"id":"https://openalex.org/I32038505","display_name":"University of Central Arkansas","ror":"https://ror.org/029bp0k25","country_code":"US","type":"education","lineage":["https://openalex.org/I32038505"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Victor S. Sheng","raw_affiliation_strings":["Department of Computer Science, University of Central Arkansas, Conway, AR 72035, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Central Arkansas, Conway, AR 72035, USA","institution_ids":["https://openalex.org/I32038505","https://openalex.org/I4210152127"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000789681"],"corresponding_institution_ids":["https://openalex.org/I3124059619"],"apc_list":null,"apc_paid":null,"fwci":5.9987,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.96273616,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"30","issue":"06","first_page":"1650013","last_page":"1650013"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9987000226974487,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9987000226974487,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9761000275611877,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9659000039100647,"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/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.8479009866714478},{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"Multi-label classification","score":0.731630802154541},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6187914609909058},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5810064077377319},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.552121639251709},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5228569507598877},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.5173125267028809},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.487373411655426},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4674243628978729},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4627492427825928},{"id":"https://openalex.org/keywords/conditional-independence","display_name":"Conditional independence","score":0.4475001394748688},{"id":"https://openalex.org/keywords/bayes-classifier","display_name":"Bayes classifier","score":0.43992874026298523},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.4355516731739044},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38414430618286133},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2977221608161926},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.269451379776001},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.26571744680404663},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09527409076690674}],"concepts":[{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.8479009866714478},{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.731630802154541},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6187914609909058},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5810064077377319},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.552121639251709},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5228569507598877},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.5173125267028809},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.487373411655426},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4674243628978729},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4627492427825928},{"id":"https://openalex.org/C79772020","wikidata":"https://www.wikidata.org/wiki/Q5159264","display_name":"Conditional independence","level":2,"score":0.4475001394748688},{"id":"https://openalex.org/C185207860","wikidata":"https://www.wikidata.org/wiki/Q17004744","display_name":"Bayes classifier","level":4,"score":0.43992874026298523},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.4355516731739044},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38414430618286133},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2977221608161926},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.269451379776001},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.26571744680404663},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09527409076690674},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001416500130","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001416500130","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1500895378","https://openalex.org/W1503498577","https://openalex.org/W1554784324","https://openalex.org/W1817561967","https://openalex.org/W2015292887","https://openalex.org/W2019439081","https://openalex.org/W2060203686","https://openalex.org/W2327001273"],"related_works":["https://openalex.org/W2804446374","https://openalex.org/W1548705586","https://openalex.org/W1593410531","https://openalex.org/W2086147528","https://openalex.org/W2110569965","https://openalex.org/W349770100","https://openalex.org/W1998749474","https://openalex.org/W2573085036","https://openalex.org/W3135653258","https://openalex.org/W2270992930"],"abstract_inverted_index":{"Multi-label":[0],"classification":[1,40],"is":[2,13,35,51,73],"to":[3,7,75,95],"assign":[4],"an":[5],"instance":[6],"multiple":[8],"classes.":[9],"Naive":[10],"Bayes":[11],"(NB)":[12],"one":[14],"of":[15,44,79],"the":[16,42,65,77,90,97],"most":[17],"popular":[18],"algorithms":[19],"for":[20,38],"pattern":[21],"recognition":[22],"and":[23,111],"classification.":[24,33,117],"It":[25,34],"has":[26],"a":[27,54,68],"high":[28],"performance":[29],"in":[30,115],"single":[31],"label":[32,45],"naturally":[36],"extended":[37],"multi-label":[39,116],"under":[41],"assumption":[43,58],"independence.":[46],"As":[47],"we":[48],"know,":[49],"NB":[50,71,110],"based":[52,83],"on":[53,84],"simple":[55],"but":[56],"unrealistic":[57],"that":[59,105],"attributes":[60],"are":[61],"conditionally":[62],"independent":[63],"given":[64],"class.":[66],"Therefore,":[67],"double":[69],"weighted":[70],"(DWNB)":[72],"proposed":[74,107],"demonstrate":[76],"influences":[78],"predicting":[80],"different":[81,85],"labels":[82],"attributes.":[86],"Our":[87,101],"DWNB":[88,108],"utilizes":[89],"niching":[91],"cultural":[92],"algorithm":[93],"(NLA)":[94],"determine":[96],"weight":[98],"configuration":[99],"automatically.":[100],"experimental":[102],"results":[103],"show":[104],"our":[106],"outperforms":[109],"its":[112],"extensions":[113],"significantly":[114]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
