{"id":"https://openalex.org/W2091435751","doi":"https://doi.org/10.1109/nabic.2011.6089422","title":"Mining and representing rare association rules through the use of genetic programming","display_name":"Mining and representing rare association rules through the use of genetic programming","publication_year":2011,"publication_date":"2011-10-01","ids":{"openalex":"https://openalex.org/W2091435751","doi":"https://doi.org/10.1109/nabic.2011.6089422","mag":"2091435751"},"language":"en","primary_location":{"id":"doi:10.1109/nabic.2011.6089422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nabic.2011.6089422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Third World Congress on Nature and Biologically Inspired Computing","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/A5050287828","display_name":"Jos\u00e9 Mar\u00eda Luna","orcid":"https://orcid.org/0000-0003-3537-2931"},"institutions":[{"id":"https://openalex.org/I53110688","display_name":"University of C\u00f3rdoba","ror":"https://ror.org/05yc77b46","country_code":"ES","type":"education","lineage":["https://openalex.org/I53110688"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Jose Maria Luna","raw_affiliation_strings":["Department of Computer Science and Numerical Analysis, University of C\u00f3rdoba, Cordoba, Spain","Department of Computer Science and Numerical Analysis, University of C\u00f3rdoba, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Numerical Analysis, University of C\u00f3rdoba, Cordoba, Spain","institution_ids":["https://openalex.org/I53110688"]},{"raw_affiliation_string":"Department of Computer Science and Numerical Analysis, University of C\u00f3rdoba, Spain","institution_ids":["https://openalex.org/I53110688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055000106","display_name":"Jos\u00e9 Ra\u00fal Romero","orcid":"https://orcid.org/0000-0002-4550-6385"},"institutions":[{"id":"https://openalex.org/I53110688","display_name":"University of C\u00f3rdoba","ror":"https://ror.org/05yc77b46","country_code":"ES","type":"education","lineage":["https://openalex.org/I53110688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jose Raul Romero","raw_affiliation_strings":["Department of Computer Science and Numerical Analysis, University of C\u00f3rdoba, Cordoba, Spain","Department of Computer Science and Numerical Analysis, University of C\u00f3rdoba, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Numerical Analysis, University of C\u00f3rdoba, Cordoba, Spain","institution_ids":["https://openalex.org/I53110688"]},{"raw_affiliation_string":"Department of Computer Science and Numerical Analysis, University of C\u00f3rdoba, Spain","institution_ids":["https://openalex.org/I53110688"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033238429","display_name":"Sebasti\u00e1n Ventura","orcid":"https://orcid.org/0000-0003-4216-6378"},"institutions":[{"id":"https://openalex.org/I53110688","display_name":"University of C\u00f3rdoba","ror":"https://ror.org/05yc77b46","country_code":"ES","type":"education","lineage":["https://openalex.org/I53110688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Sebastian Ventura","raw_affiliation_strings":["Department of Computer Science and Numerical Analysis, University of C\u00f3rdoba, Cordoba, Spain","Department of Computer Science and Numerical Analysis, University of C\u00f3rdoba, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Numerical Analysis, University of C\u00f3rdoba, Cordoba, Spain","institution_ids":["https://openalex.org/I53110688"]},{"raw_affiliation_string":"Department of Computer Science and Numerical Analysis, University of C\u00f3rdoba, Spain","institution_ids":["https://openalex.org/I53110688"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5050287828"],"corresponding_institution_ids":["https://openalex.org/I53110688"],"apc_list":null,"apc_paid":null,"fwci":0.4276,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72809391,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5840","issue":null,"first_page":"86","last_page":"91"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9991999864578247,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9991999864578247,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9990000128746033,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9898999929428101,"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":0.8325260877609253},{"id":"https://openalex.org/keywords/grammatical-evolution","display_name":"Grammatical evolution","score":0.8044785261154175},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7863882184028625},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.6977108716964722},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.578857421875},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5714667439460754},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5524291396141052},{"id":"https://openalex.org/keywords/k-optimal-pattern-discovery","display_name":"K-optimal pattern discovery","score":0.5510419607162476},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5407862663269043},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5194137096405029},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5061730742454529},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5033800005912781},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.47276073694229126},{"id":"https://openalex.org/keywords/grammar","display_name":"Grammar","score":0.4393239915370941},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41119837760925293},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09833210706710815},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08311301469802856}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.8325260877609253},{"id":"https://openalex.org/C10906938","wikidata":"https://www.wikidata.org/wiki/Q5593687","display_name":"Grammatical evolution","level":3,"score":0.8044785261154175},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7863882184028625},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.6977108716964722},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.578857421875},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5714667439460754},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5524291396141052},{"id":"https://openalex.org/C105445830","wikidata":"https://www.wikidata.org/wiki/Q6322855","display_name":"K-optimal pattern discovery","level":3,"score":0.5510419607162476},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5407862663269043},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5194137096405029},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5061730742454529},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5033800005912781},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.47276073694229126},{"id":"https://openalex.org/C26022165","wikidata":"https://www.wikidata.org/wiki/Q8091","display_name":"Grammar","level":2,"score":0.4393239915370941},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41119837760925293},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09833210706710815},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08311301469802856},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"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/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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nabic.2011.6089422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nabic.2011.6089422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Third World Congress on Nature and Biologically Inspired Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W58918046","https://openalex.org/W112256517","https://openalex.org/W1506285740","https://openalex.org/W1508989754","https://openalex.org/W1978479174","https://openalex.org/W2004631648","https://openalex.org/W2024820855","https://openalex.org/W2115017921","https://openalex.org/W2115482638","https://openalex.org/W2120923019","https://openalex.org/W2141405654","https://openalex.org/W2142312353","https://openalex.org/W2163230500","https://openalex.org/W6630198464","https://openalex.org/W6630538495","https://openalex.org/W6680526708"],"related_works":["https://openalex.org/W2605210233","https://openalex.org/W2065481307","https://openalex.org/W66727908","https://openalex.org/W3006865984","https://openalex.org/W2003947101","https://openalex.org/W4385213092","https://openalex.org/W2487304978","https://openalex.org/W1608608607","https://openalex.org/W2136535899","https://openalex.org/W2098048287"],"abstract_inverted_index":{"Whereas":[0],"the":[1,8,15,59,64,67,83,92,99,140,145],"extraction":[2],"of":[3,17,34,63,66,71,94,130,147,151,164,172],"frequent":[4,95],"patterns":[5,73],"has":[6,38],"focused":[7],"major":[9],"researches":[10],"in":[11,30,42,79,91,108,168],"association":[12,50,105],"rule":[13],"mining,":[14],"requirements":[16,142],"reliable":[18,165],"rules":[19,51,106,167],"that":[20,74,158],"do":[21,75],"not":[22,39,76],"frequently":[23,77],"appear":[24,78],"is":[25,115],"taking":[26],"an":[27,53,132],"increasing":[28],"interest":[29],"a":[31,80,112,136,162,169],"great":[32],"number":[33],"areas.":[35],"This":[36],"field":[37,93],"been":[40],"explored":[41],"depth":[43],"and":[44,82,117,135,143],"most":[45],"algorithms":[46],"for":[47,102],"mining":[48,97],"infrequent":[49,166],"follow":[52],"exhaustive":[54],"search":[55],"methodology,":[56],"which":[57],"hampers":[58],"extracting":[60,148],"process":[61],"because":[62],"size":[65],"datasets.":[68],"The":[69,128,154],"importance":[70],"discovering":[72,103],"dataset":[81],"promising":[84],"results":[85],"obtained":[86],"when":[87],"using":[88],"evolutionary":[89,100,133],"proposals":[90],"pattern":[96],"motivates":[98],"proposal":[101,160],"rare":[104],"presented":[107],"this":[109,159],"paper.":[110],"Here,":[111],"context-free":[113,137],"grammar":[114,138],"described":[116],"applied":[118],"to":[119,122],"adapt":[120],"individuals":[121],"each":[123],"particular":[124],"problem":[125],"or":[126],"domain.":[127],"use":[129],"both":[131],"approach":[134],"reduces":[139],"memory":[141],"provides":[144],"possibility":[146],"any":[149],"kind":[150],"rules,":[152],"respectively.":[153],"experimental":[155],"study":[156],"shows":[157],"obtains":[161],"set":[163],"short":[170],"period":[171],"time.":[173]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}