{"id":"https://openalex.org/W2088620293","doi":"https://doi.org/10.1145/2330784.2330907","title":"Evolving data sets to highlight the performance differences between machine learning classifiers","display_name":"Evolving data sets to highlight the performance differences between machine learning classifiers","publication_year":2012,"publication_date":"2012-07-07","ids":{"openalex":"https://openalex.org/W2088620293","doi":"https://doi.org/10.1145/2330784.2330907","mag":"2088620293"},"language":"en","primary_location":{"id":"doi:10.1145/2330784.2330907","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2330784.2330907","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th annual conference companion on Genetic and evolutionary computation","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/A5108493346","display_name":"Thomas Raway","orcid":null},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Thomas Raway","raw_affiliation_strings":["Binghamton University, Binghamton, NY, USA"],"affiliations":[{"raw_affiliation_string":"Binghamton University, Binghamton, NY, USA","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074804583","display_name":"David Schaffer","orcid":null},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David J. Schaffer","raw_affiliation_strings":["Binghamton University, Binghamton, NY, USA"],"affiliations":[{"raw_affiliation_string":"Binghamton University, Binghamton, NY, USA","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111535215","display_name":"Kenneth J. Kurtz","orcid":null},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kenneth J. Kurtz","raw_affiliation_strings":["Binghamton University, Binghamton, NY, USA"],"affiliations":[{"raw_affiliation_string":"Binghamton University, Binghamton, NY, USA","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052717630","display_name":"Hiroki Sayama","orcid":"https://orcid.org/0000-0002-2670-5864"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hiroki Sayama","raw_affiliation_strings":["Binghamton University, Binghamton, NY, USA"],"affiliations":[{"raw_affiliation_string":"Binghamton University, Binghamton, NY, USA","institution_ids":["https://openalex.org/I123946342"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5108493346"],"corresponding_institution_ids":["https://openalex.org/I123946342"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11923843,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"657","last_page":"658"},"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":0.9986000061035156,"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/T10320","display_name":"Neural Networks and Applications","score":0.9937999844551086,"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":0.7704753875732422},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7643002271652222},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7071422934532166},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6218993067741394},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.6105114817619324},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.45987552404403687},{"id":"https://openalex.org/keywords/real-world-data","display_name":"Real world data","score":0.43529826402664185},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.43009594082832336},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.4290473759174347},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.12501192092895508},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.12172949314117432}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7704753875732422},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7643002271652222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7071422934532166},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6218993067741394},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.6105114817619324},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.45987552404403687},{"id":"https://openalex.org/C3020493868","wikidata":"https://www.wikidata.org/wiki/Q55631277","display_name":"Real world data","level":2,"score":0.43529826402664185},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.43009594082832336},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.4290473759174347},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.12501192092895508},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.12172949314117432}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2330784.2330907","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2330784.2330907","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th annual conference companion on Genetic and evolutionary computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1576660662","https://openalex.org/W2068545462","https://openalex.org/W2125877832","https://openalex.org/W2143476736","https://openalex.org/W2151554678"],"related_works":["https://openalex.org/W2130553454","https://openalex.org/W3022007134","https://openalex.org/W4317548404","https://openalex.org/W1509924131","https://openalex.org/W3104108945","https://openalex.org/W2033364610","https://openalex.org/W3163689946","https://openalex.org/W2797776314","https://openalex.org/W2153927146","https://openalex.org/W2168489430"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,36],"preliminary":[3],"study":[4],"to":[5,21,33,68,85,87],"evolve":[6],"data":[7,38,51,65,81],"sets":[8,66],"that":[9,60],"maximize":[10],"performance":[11,71],"differences":[12,72],"between":[13,73],"multiple":[14,46,49],"machine":[15,30],"learning":[16,31,75],"classifiers.":[17,76],"The":[18],"aim":[19],"is":[20,55],"provide":[22],"useful":[23],"information":[24],"towards":[25],"the":[26,70,88],"decision":[27],"of":[28],"which":[29,92],"classifier":[32],"use":[34],"given":[35],"particular":[37],"set.":[39],"While":[40],"literature":[41],"already":[42],"exists":[43],"on":[44],"comparing":[45],"classifiers":[47,93],"across":[48],"pre-existing":[50],"sets,":[52,82],"our":[53],"approach":[54],"novel":[56],"and":[57],"unique":[58],"in":[59],"we":[61,83],"evolved":[62,80],"completely":[63],"new":[64],"designed":[67],"highlight":[69],"supervised":[74],"By":[77],"investigating":[78],"these":[79],"hope":[84],"add":[86],"knowledge":[89],"base":[90],"concerning":[91],"are":[94],"appropriate":[95],"for":[96],"specific":[97],"real":[98],"world":[99],"classification":[100],"tasks.":[101]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}