{"id":"https://openalex.org/W2052098261","doi":"https://doi.org/10.1145/1947940.1948025","title":"Parallel multi-objective genetic algorithms for associative classification rule mining","display_name":"Parallel multi-objective genetic algorithms for associative classification rule mining","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W2052098261","doi":"https://doi.org/10.1145/1947940.1948025","mag":"2052098261"},"language":"en","primary_location":{"id":"doi:10.1145/1947940.1948025","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1947940.1948025","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 International Conference on Communication, Computing & Security - ICCCS '11","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/A5030678782","display_name":"Bhabani Shankar Prasad Mishra","orcid":"https://orcid.org/0000-0003-1656-4487"},"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":true,"raw_author_name":"B. S. P. Mishra","raw_affiliation_strings":["KIIT University, Bhubaneswar, Odisha, India"],"affiliations":[{"raw_affiliation_string":"KIIT University, Bhubaneswar, Odisha, India","institution_ids":["https://openalex.org/I67357951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030848473","display_name":"A. K. Addy","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":"A. K. Addy","raw_affiliation_strings":["KIIT University, Bhubaneswar, Odisha, India"],"affiliations":[{"raw_affiliation_string":"KIIT University, Bhubaneswar, Odisha, India","institution_ids":["https://openalex.org/I67357951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101968441","display_name":"Rupsa Roy","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":"R. Roy","raw_affiliation_strings":["KIIT University, Bhubaneswar, Odisha, India"],"affiliations":[{"raw_affiliation_string":"KIIT University, Bhubaneswar, Odisha, India","institution_ids":["https://openalex.org/I67357951"]}]},{"author_position":"last","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":"S. Dehuri","raw_affiliation_strings":["F. M. University, Vyasa Vihar, Balasore, Odisha, India"],"affiliations":[{"raw_affiliation_string":"F. M. University, Vyasa Vihar, Balasore, Odisha, India","institution_ids":["https://openalex.org/I108526665"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5030678782"],"corresponding_institution_ids":["https://openalex.org/I67357951"],"apc_list":null,"apc_paid":null,"fwci":2.1969,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.87304141,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"409","last_page":"409"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9976000189781189,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9976000189781189,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9962999820709229,"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/association-rule-learning","display_name":"Association rule learning","score":0.8074494004249573},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.6778081655502319},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6584099531173706},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6409525871276855},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6315805315971375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48537886142730713},{"id":"https://openalex.org/keywords/pareto-optimal","display_name":"Pareto optimal","score":0.47956913709640503},{"id":"https://openalex.org/keywords/classification-rule","display_name":"Classification rule","score":0.4680100679397583},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.46580061316490173},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.44030943512916565},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.42429155111312866},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42188626527786255},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.41997525095939636},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4195961654186249},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3782668709754944},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32997551560401917},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24059507250785828},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.11917975544929504}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.8074494004249573},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.6778081655502319},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6584099531173706},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6409525871276855},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6315805315971375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48537886142730713},{"id":"https://openalex.org/C2986314615","wikidata":"https://www.wikidata.org/wiki/Q36829","display_name":"Pareto optimal","level":3,"score":0.47956913709640503},{"id":"https://openalex.org/C104317236","wikidata":"https://www.wikidata.org/wiki/Q4330126","display_name":"Classification rule","level":2,"score":0.4680100679397583},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.46580061316490173},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.44030943512916565},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.42429155111312866},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42188626527786255},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.41997525095939636},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4195961654186249},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3782668709754944},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32997551560401917},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24059507250785828},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.11917975544929504},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1947940.1948025","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1947940.1948025","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 International Conference on Communication, Computing & Security - ICCCS '11","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W37717492","https://openalex.org/W1509199493","https://openalex.org/W1553696291","https://openalex.org/W1594713080","https://openalex.org/W1889218854","https://openalex.org/W2126105956","https://openalex.org/W2167681385"],"related_works":["https://openalex.org/W2337862504","https://openalex.org/W1533029210","https://openalex.org/W2123512339","https://openalex.org/W1979141062","https://openalex.org/W2084351816","https://openalex.org/W4289753243","https://openalex.org/W2310143336","https://openalex.org/W4225092426","https://openalex.org/W4235804352","https://openalex.org/W159345135"],"abstract_inverted_index":{"Association":[0],"and":[1,31,51,71,93,107,127,139,153,161],"classification":[2,20,36,101,181,193],"rule":[3,21,69,72,97,104,109,137,168,174],"mining":[4,22,98],"are":[5,117,144,159],"two":[6,66],"well-known":[7],"techniques":[8],"used":[9],"in":[10,27,103,108,183],"data":[11,148],"mining.":[12],"The":[13],"integrated":[14],"approach":[15],"is":[16,63,76],"known":[17],"as":[18,47],"associative":[19],"(ACRM),":[23],"which":[24,130],"has":[25],"helped":[26],"developing":[28],"a":[29,48,77,112,171,177],"compact":[30,128,178],"efficient":[32],"classifier":[33],"for":[34,166],"the":[35,45,53,89,120,133,136,156,164],"of":[37,95,115,135,180],"unknown":[38],"samples.":[39],"In":[40],"this":[41],"paper,":[42],"we":[43,86],"treated":[44],"ACRM":[46,62,75],"multi-objective":[49,78,167],"problem":[50,79],"applied":[52],"Parallel":[54],"Multi-objective":[55],"Genetic":[56],"Algorithms":[57],"(PMOGAs)":[58],"to":[59,99,123,187],"solve":[60],"it.":[61],"associated":[64],"with":[65,176],"phases":[67],"like":[68,91],"extraction":[70,105],"selection.":[73],"As":[74],"so":[80],"by":[81,150],"applying":[82],"PMOGA":[83,165],"on":[84,146],"it":[85],"can":[87,131],"optimize":[88],"measures":[90],"support":[92],"confidence":[94],"association":[96],"extract":[100],"rules":[102,116,122,182],"phase":[106,111],"selection":[110,169],"small":[113],"number":[114],"targeted":[118],"from":[119],"extracted":[121],"design":[124],"an":[125],"accurate":[126],"classifier,":[129],"maximize":[132],"accuracy":[134],"set":[138,149,179],"minimize":[140],"their":[141,192],"complexity.":[142],"Experiments":[143],"conducted":[145],"UCI":[147],"using":[151],"MOGA":[152,188],"PMOGA.":[154],"Finally":[155],"computational":[157],"results":[158],"analyzed":[160],"concluded":[162],"that":[163],"generates":[170],"Pareto":[172],"optimal":[173],"sets":[175],"less":[184],"time":[185],"vis-a-vis":[186],"without":[189],"severely":[190],"degrading":[191],"accuracy.":[194]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}