{"id":"https://openalex.org/W2060735344","doi":"https://doi.org/10.4018/jamc.2011040103","title":"A New Approach to Associative Classification Based on Binary Multi-objective Particle Swarm Optimization","display_name":"A New Approach to Associative Classification Based on Binary Multi-objective Particle Swarm Optimization","publication_year":2011,"publication_date":"2011-04-01","ids":{"openalex":"https://openalex.org/W2060735344","doi":"https://doi.org/10.4018/jamc.2011040103","mag":"2060735344"},"language":"en","primary_location":{"id":"doi:10.4018/jamc.2011040103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jamc.2011040103","pdf_url":null,"source":{"id":"https://openalex.org/S7509020","display_name":"International Journal of Applied Metaheuristic Computing","issn_l":"1947-8283","issn":["1947-8283","1947-8291"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Metaheuristic Computing","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/A5109173364","display_name":"Madhabananda Das","orcid":null},"institutions":[{"id":"https://openalex.org/I67357951","display_name":"KIIT University","ror":"https://ror.org/00k8zt527","country_code":"IN","type":"education","lineage":["https://openalex.org/I67357951"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Madhabananda Das","raw_affiliation_strings":["KIIT University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KIIT University, India","institution_ids":["https://openalex.org/I67357951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083258901","display_name":"Rahul Roy","orcid":"https://orcid.org/0000-0002-4026-1307"},"institutions":[{"id":"https://openalex.org/I67357951","display_name":"KIIT University","ror":"https://ror.org/00k8zt527","country_code":"IN","type":"education","lineage":["https://openalex.org/I67357951"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rahul Roy","raw_affiliation_strings":["KIIT University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KIIT University, India","institution_ids":["https://openalex.org/I67357951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001882647","display_name":"Satchidananda Dehuri","orcid":"https://orcid.org/0000-0003-1435-4531"},"institutions":[{"id":"https://openalex.org/I108526665","display_name":"Fakir Mohan University","ror":"https://ror.org/00g0n6t22","country_code":"IN","type":"education","lineage":["https://openalex.org/I108526665"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Satchidananda Dehuri","raw_affiliation_strings":["Fakir Mohan University, India"],"raw_orcid":"https://orcid.org/0000-0003-1435-4531","affiliations":[{"raw_affiliation_string":"Fakir Mohan University, India","institution_ids":["https://openalex.org/I108526665"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108081550","display_name":"Sung\u2010Bae Cho","orcid":"https://orcid.org/0000-0002-7027-2429"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sung-Bae Cho","raw_affiliation_strings":["Yonsei University, Korea","Yonsei University, Korea#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University, Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"Yonsei University, Korea#TAB#","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.0775,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.91942492,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2","issue":"2","first_page":"51","last_page":"73"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9997000098228455,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9997000098228455,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9968000054359436,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9958999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.7694023847579956},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.6895471811294556},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6755739450454712},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.631061315536499},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5829756855964661},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5800243020057678},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5509006381034851},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5463694334030151},{"id":"https://openalex.org/keywords/classification-rule","display_name":"Classification rule","score":0.48450204730033875},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4667375981807709},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44286638498306274},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4233090281486511},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3767971396446228},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26495617628097534},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.1357896327972412}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.7694023847579956},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.6895471811294556},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6755739450454712},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.631061315536499},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5829756855964661},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5800243020057678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5509006381034851},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5463694334030151},{"id":"https://openalex.org/C104317236","wikidata":"https://www.wikidata.org/wiki/Q4330126","display_name":"Classification rule","level":2,"score":0.48450204730033875},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4667375981807709},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44286638498306274},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4233090281486511},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3767971396446228},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26495617628097534},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1357896327972412},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/jamc.2011040103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jamc.2011040103","pdf_url":null,"source":{"id":"https://openalex.org/S7509020","display_name":"International Journal of Applied Metaheuristic Computing","issn_l":"1947-8283","issn":["1947-8283","1947-8291"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Metaheuristic Computing","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jamc00:v:2:y:2011:i:2:p:51-73","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jamc.2011040103","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W60969841","https://openalex.org/W107299040","https://openalex.org/W259338706","https://openalex.org/W1486402490","https://openalex.org/W1509199493","https://openalex.org/W1531508514","https://openalex.org/W1553696291","https://openalex.org/W1554333297","https://openalex.org/W1560576340","https://openalex.org/W1565746575","https://openalex.org/W1581513707","https://openalex.org/W1594713080","https://openalex.org/W1594842724","https://openalex.org/W1966322024","https://openalex.org/W1973347433","https://openalex.org/W1982346712","https://openalex.org/W2001962484","https://openalex.org/W2002215687","https://openalex.org/W2018401509","https://openalex.org/W2023193340","https://openalex.org/W2026248097","https://openalex.org/W2035192656","https://openalex.org/W2037879020","https://openalex.org/W2047024354","https://openalex.org/W2057764978","https://openalex.org/W2064187930","https://openalex.org/W2070131199","https://openalex.org/W2083526758","https://openalex.org/W2094207009","https://openalex.org/W2098910351","https://openalex.org/W2108388069","https://openalex.org/W2118407713","https://openalex.org/W2120123991","https://openalex.org/W2123541507","https://openalex.org/W2123808725","https://openalex.org/W2125213524","https://openalex.org/W2140190241","https://openalex.org/W2140384587","https://openalex.org/W2140882991","https://openalex.org/W2154565402","https://openalex.org/W2154642793","https://openalex.org/W2159019497","https://openalex.org/W2165171393","https://openalex.org/W2167681385","https://openalex.org/W2172186225","https://openalex.org/W2487135301","https://openalex.org/W3120740533","https://openalex.org/W4230973411"],"related_works":["https://openalex.org/W1533029210","https://openalex.org/W1423926064","https://openalex.org/W1574613422","https://openalex.org/W2020122318","https://openalex.org/W2058966307","https://openalex.org/W2107933135","https://openalex.org/W2385870178","https://openalex.org/W2166927187","https://openalex.org/W3186967897","https://openalex.org/W1964508806"],"abstract_inverted_index":{"Associative":[0],"classification":[1,14,88],"rule":[2,9,29,32,83,91,95,125],"mining":[3,10,84],"(ACRM)":[4],"methods":[5],"operate":[6],"by":[7,109],"association":[8,82],"(ARM)":[11,85],"to":[12,64,73,86,111],"obtain":[13],"rules":[15,89,102,108],"from":[16,105],"a":[17,43,48,56,66,98,165],"previously":[18],"classified":[19],"data.":[20],"In":[21,34,94],"ACRM,":[22],"classifiers":[23,156],"are":[24,103,133],"designed":[25],"through":[26],"two":[27],"phases:":[28],"extraction":[30,92],"and":[31,79,115,127],"selection.":[33],"this":[35],"paper,":[36],"the":[37,53,75,106,121,124,138,150,159],"ACRM":[38],"problem":[39,45,54],"is":[40,55],"treated":[41],"as":[42],"multi-objective":[44,68],"rather":[46],"than":[47],"single":[49],"objective":[50],"one.":[51],"As":[52],"discrete":[57],"combinatorial":[58],"optimization":[59,71],"problem,":[60],"it":[61],"was":[62],"necessary":[63],"develop":[65],"binary":[67],"particle":[69],"swarm":[70],"(BMOPSO)":[72],"optimize":[74],"measure":[76],"like":[77],"coverage":[78],"confidence":[80],"of":[81,101,123,137,140,149],"extract":[87],"in":[90],"phase.":[93],"selection":[96],"phase,":[97],"small":[99],"number":[100],"targeted":[104],"extracted":[107],"BMOPSO":[110],"design":[112],"an":[113],"accurate":[114],"compact":[116],"classifier":[117],"which":[118],"can":[119,163],"maximize":[120],"accuracy":[122],"sets":[126],"minimize":[128],"their":[129],"complexity":[130],"simultaneously.":[131],"Experiments":[132],"conducted":[134],"on":[135],"some":[136],"University":[139],"California,":[141],"Irvine":[142],"(UCI)":[143],"repository":[144],"datasets.":[145],"The":[146],"comparative":[147],"result":[148],"proposed":[151,161],"method":[152,167],"with":[153],"other":[154],"standard":[155],"confirms":[157],"that":[158],"new":[160],"approach":[162],"be":[164],"suitable":[166],"for":[168],"classification.":[169]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}