{"id":"https://openalex.org/W2071231649","doi":"https://doi.org/10.1109/nabic.2013.6617851","title":"Scaling Genetic Programming for data classification using MapReduce methodology","display_name":"Scaling Genetic Programming for data classification using MapReduce methodology","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2071231649","doi":"https://doi.org/10.1109/nabic.2013.6617851","mag":"2071231649"},"language":"en","primary_location":{"id":"doi:10.1109/nabic.2013.6617851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nabic.2013.6617851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 World Congress on Nature and Biologically Inspired Computing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5089232820","display_name":"Nailah Al\u2013Madi","orcid":"https://orcid.org/0000-0003-0980-7559"},"institutions":[{"id":"https://openalex.org/I57328836","display_name":"North Dakota State University","ror":"https://ror.org/05h1bnb22","country_code":"US","type":"education","lineage":["https://openalex.org/I57328836"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nailah Al-Madi","raw_affiliation_strings":["Department of Computer Science, North Dakota State University, Fargo, ND, USA","Department of Computer Science, North Dakota State University, Fargo , ND, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, North Dakota State University, Fargo, ND, USA","institution_ids":["https://openalex.org/I57328836"]},{"raw_affiliation_string":"Department of Computer Science, North Dakota State University, Fargo , ND, USA","institution_ids":["https://openalex.org/I57328836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015130765","display_name":"Simone A. Ludwig","orcid":"https://orcid.org/0000-0002-8419-0192"},"institutions":[{"id":"https://openalex.org/I57328836","display_name":"North Dakota State University","ror":"https://ror.org/05h1bnb22","country_code":"US","type":"education","lineage":["https://openalex.org/I57328836"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Simone A. Ludwig","raw_affiliation_strings":["Department of Computer Science, North Dakota State University, Fargo, ND, USA","Department of Computer Science, North Dakota State University, Fargo , ND, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, North Dakota State University, Fargo, ND, USA","institution_ids":["https://openalex.org/I57328836"]},{"raw_affiliation_string":"Department of Computer Science, North Dakota State University, Fargo , ND, USA","institution_ids":["https://openalex.org/I57328836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I57328836"],"apc_list":null,"apc_paid":null,"fwci":0.6864,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.69138639,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"132","last_page":"139"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9947999715805054,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9939000010490417,"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/computer-science","display_name":"Computer science","score":0.8533533811569214},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.7361072301864624},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.7040462493896484},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.69737708568573},{"id":"https://openalex.org/keywords/execution-time","display_name":"Execution time","score":0.5989881753921509},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5237517356872559},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5038534998893738},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4954262971878052},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46710196137428284},{"id":"https://openalex.org/keywords/programming-paradigm","display_name":"Programming paradigm","score":0.4454614520072937},{"id":"https://openalex.org/keywords/fault-tolerance","display_name":"Fault tolerance","score":0.42396965622901917},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.334663987159729},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20599165558815002},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.19467610120773315},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09803855419158936},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.07628008723258972}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8533533811569214},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.7361072301864624},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.7040462493896484},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.69737708568573},{"id":"https://openalex.org/C2989134064","wikidata":"https://www.wikidata.org/wiki/Q288510","display_name":"Execution time","level":2,"score":0.5989881753921509},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5237517356872559},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5038534998893738},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4954262971878052},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46710196137428284},{"id":"https://openalex.org/C34165917","wikidata":"https://www.wikidata.org/wiki/Q188267","display_name":"Programming paradigm","level":2,"score":0.4454614520072937},{"id":"https://openalex.org/C63540848","wikidata":"https://www.wikidata.org/wiki/Q3140932","display_name":"Fault tolerance","level":2,"score":0.42396965622901917},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.334663987159729},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20599165558815002},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.19467610120773315},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09803855419158936},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.07628008723258972},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nabic.2013.6617851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nabic.2013.6617851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 World Congress on Nature and Biologically Inspired Computing","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":22,"referenced_works":["https://openalex.org/W72082412","https://openalex.org/W1483736078","https://openalex.org/W1512383952","https://openalex.org/W1548568749","https://openalex.org/W1552232626","https://openalex.org/W1570448133","https://openalex.org/W1589918049","https://openalex.org/W2010112338","https://openalex.org/W2014779797","https://openalex.org/W2046397053","https://openalex.org/W2056987004","https://openalex.org/W2096442669","https://openalex.org/W2126268739","https://openalex.org/W2129139249","https://openalex.org/W2134693673","https://openalex.org/W2145473492","https://openalex.org/W2148497813","https://openalex.org/W2167887856","https://openalex.org/W2173213060","https://openalex.org/W3120740533","https://openalex.org/W4285719527","https://openalex.org/W6684473544"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2027972911","https://openalex.org/W1822025191","https://openalex.org/W2212845119","https://openalex.org/W3147391527","https://openalex.org/W2145796590","https://openalex.org/W2617514970"],"abstract_inverted_index":{"Genetic":[0],"Programming":[1],"(GP)":[2],"is":[3,31,45,52,77,89,151],"an":[4],"optimization":[5],"method":[6],"that":[7],"has":[8,34],"proved":[9],"to":[10,37,68,81,101,135,160],"achieve":[11],"good":[12,29],"results.":[13],"It":[14],"solves":[15],"problems":[16],"by":[17],"generating":[18],"programs":[19,26],"and":[20,114,166],"applying":[21],"natural":[22],"operations":[23],"on":[24,54,92],"these":[25],"until":[27],"a":[28],"solution":[30],"found.":[32],"GP":[33,51,75,88,126],"been":[35],"used":[36],"solve":[38],"many":[39],"classifications":[40],"problems,":[41],"however,":[42],"its":[43],"drawback":[44],"the":[46,55,58,64,70,74,84,93,104,122,133,142,163],"long":[47,71],"execution":[48,59,72,123],"time.":[49],"When":[50],"applied":[53],"classification":[56,85],"task,":[57],"time":[60,124],"proportionally":[61],"increases":[62],"with":[63],"dataset":[65],"size.":[66],"Therefore,":[67],"manage":[69],"time,":[73],"algorithm":[76],"parallelized":[78],"in":[79,99,107,145],"order":[80,100],"speed":[82],"up":[83],"process.":[86],"Our":[87],"implemented":[90],"based":[91],"MapReduce":[94,105],"methodology":[95],"(abbreviated":[96],"as":[97],"MRGP),":[98],"benefit":[102],"from":[103,158],"concept":[106],"terms":[108],"of":[109,125,148],"fault":[110],"tolerance,":[111],"load":[112],"balancing,":[113],"data":[115],"locality.":[116],"MRGP":[117,150],"does":[118],"not":[119],"only":[120],"accelerate":[121],"for":[127],"large":[128,137],"datasets,":[129],"it":[130],"also":[131],"provides":[132],"ability":[134],"use":[136],"population":[138,155],"sizes,":[139],"thus":[140],"finding":[141],"best":[143],"result":[144],"fewer":[146],"numbers":[147],"generations.":[149],"evaluated":[152],"using":[153],"different":[154],"sizes":[156],"ranging":[157],"1,000":[159],"100,000":[161],"measuring":[162],"accuracy,":[164],"scalability,":[165],"speedup.":[167]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
