{"id":"https://openalex.org/W2987911414","doi":"https://doi.org/10.1145/3338840.3355656","title":"Classification of multiclass datasets using genetic programming","display_name":"Classification of multiclass datasets using genetic programming","publication_year":2019,"publication_date":"2019-09-24","ids":{"openalex":"https://openalex.org/W2987911414","doi":"https://doi.org/10.1145/3338840.3355656","mag":"2987911414"},"language":"en","primary_location":{"id":"doi:10.1145/3338840.3355656","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3338840.3355656","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Conference on Research in Adaptive and Convergent Systems","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/A5017882604","display_name":"Mahsa Shokri Varniab","orcid":null},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mahsa Shokri Varniab","raw_affiliation_strings":["Kennesaw State University"],"affiliations":[{"raw_affiliation_string":"Kennesaw State University","institution_ids":["https://openalex.org/I172980758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101833510","display_name":"Chih\u2010Cheng Hung","orcid":"https://orcid.org/0000-0002-4020-6172"},"institutions":[{"id":"https://openalex.org/I4210117382","display_name":"Anyang Normal University","ror":"https://ror.org/02g9nss57","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210117382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chih-Cheng Hung","raw_affiliation_strings":["Kennesaw State University and Anyang Normal University, China"],"affiliations":[{"raw_affiliation_string":"Kennesaw State University and Anyang Normal University, China","institution_ids":["https://openalex.org/I4210117382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080335629","display_name":"Vahid Khalilzad Sharghi","orcid":null},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vahid Khalilzad Sharghi","raw_affiliation_strings":["Kennesaw State University"],"affiliations":[{"raw_affiliation_string":"Kennesaw State University","institution_ids":["https://openalex.org/I172980758"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5017882604"],"corresponding_institution_ids":["https://openalex.org/I172980758"],"apc_list":null,"apc_paid":null,"fwci":0.28,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66690943,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"76","last_page":"82"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":1.0,"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":1.0,"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":0.9991000294685364,"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":0.9909999966621399,"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/multiclass-classification","display_name":"Multiclass classification","score":0.8477170467376709},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.804418683052063},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7352905869483948},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7091485857963562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6694614887237549},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.645657479763031},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6074243783950806},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4633527100086212},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.42456039786338806},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.4184724688529968},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33531874418258667},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.13488057255744934}],"concepts":[{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.8477170467376709},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.804418683052063},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7352905869483948},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7091485857963562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6694614887237549},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.645657479763031},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6074243783950806},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4633527100086212},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.42456039786338806},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.4184724688529968},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33531874418258667},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.13488057255744934},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3338840.3355656","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3338840.3355656","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Conference on Research in Adaptive and Convergent Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1483736078","https://openalex.org/W1496714509","https://openalex.org/W1529680538","https://openalex.org/W1555978681","https://openalex.org/W1967542092","https://openalex.org/W1994256009","https://openalex.org/W1999041721","https://openalex.org/W2014566476","https://openalex.org/W2037614014","https://openalex.org/W2043069248","https://openalex.org/W2052611008","https://openalex.org/W2055076627","https://openalex.org/W2077844883","https://openalex.org/W2101711129","https://openalex.org/W2108665443","https://openalex.org/W2140190241","https://openalex.org/W2151684171","https://openalex.org/W2163358443","https://openalex.org/W2165097780","https://openalex.org/W2165267489","https://openalex.org/W2334360598","https://openalex.org/W2607589993","https://openalex.org/W2730179240","https://openalex.org/W2944258394","https://openalex.org/W2947779129","https://openalex.org/W3098365355","https://openalex.org/W4253529704","https://openalex.org/W6702781542"],"related_works":["https://openalex.org/W2561856575","https://openalex.org/W1792573625","https://openalex.org/W1925901016","https://openalex.org/W2809372214","https://openalex.org/W2097965245","https://openalex.org/W4294725171","https://openalex.org/W1485885287","https://openalex.org/W2553277926","https://openalex.org/W2139799987","https://openalex.org/W4384024076"],"abstract_inverted_index":{"This":[0],"paper1":[1],"proposes":[2],"an":[3,60],"approach":[4,95],"which":[5],"uses":[6],"optimized":[7,61],"genetic":[8],"programming":[9],"(GP)":[10],"with":[11],"a":[12,36,41,66,72,90,118],"new":[13,73],"fitness":[14,74],"function":[15],"for":[16,123,131],"multiclass":[17,101,134],"dataset":[18],"classification.":[19],"In":[20],"place":[21],"of":[22,38,68],"defining":[23],"static":[24],"thresholds":[25],"as":[26],"boundaries":[27],"to":[28,88],"differentiate":[29],"between":[30],"multiple":[31],"classes,":[32],"our":[33],"work":[34],"presents":[35],"method":[37,122],"classification":[39,124,135],"where":[40],"GP":[42,62,92],"system":[43],"learns":[44],"the":[45,55,85,114,128],"relationships":[46],"among":[47],"experiential":[48],"data":[49],"and":[50,71,103,120],"models":[51],"them":[52],"mathematically":[53],"during":[54],"evolutionary":[56],"process.":[57],"We":[58],"propose":[59],"classifier":[63,116],"based":[64],"on":[65,99],"combination":[67],"pruning":[69],"subtrees":[70],"function.":[75],"An":[76],"orthogonal":[77],"least":[78],"squares":[79],"algorithm":[80],"is":[81],"also":[82],"applied":[83],"in":[84],"training":[86],"phase":[87],"create":[89],"robust":[91],"classifier.":[93],"Our":[94],"has":[96],"been":[97],"assessed":[98],"four":[100],"datasets":[102],"compared":[104],"against":[105],"three":[106],"existing":[107],"methods.":[108],"The":[109],"analyzed":[110],"results":[111],"illustrate":[112],"that":[113,126],"developed":[115],"produces":[117],"productive":[119],"rapid":[121],"tasks":[125],"outperforms":[127],"previous":[129],"methods":[130],"more":[132],"challenging":[133],"problems.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
