{"id":"https://openalex.org/W2015095383","doi":"https://doi.org/10.1145/1102256.1102272","title":"Post-processing clustering to reduce XCS variability","display_name":"Post-processing clustering to reduce XCS variability","publication_year":2005,"publication_date":"2005-06-25","ids":{"openalex":"https://openalex.org/W2015095383","doi":"https://doi.org/10.1145/1102256.1102272","mag":"2015095383"},"language":"en","primary_location":{"id":"doi:10.1145/1102256.1102272","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1102256.1102272","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th annual workshop 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/A5103740127","display_name":"Flavio Baronti","orcid":null},"institutions":[{"id":"https://openalex.org/I4210160382","display_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Pisa","ror":"https://ror.org/05symbg58","country_code":"IT","type":"facility","lineage":["https://openalex.org/I160013858","https://openalex.org/I4210160382"]},{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Flavio Baronti","raw_affiliation_strings":["Universit\u00e0 di Pisa, Largo B. Pontecorvo, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"Universit\u00e0 di Pisa, Largo B. Pontecorvo, Pisa, Italy","institution_ids":["https://openalex.org/I4210160382","https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103613319","display_name":"Alessandro Passaro","orcid":null},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]},{"id":"https://openalex.org/I4210160382","display_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Pisa","ror":"https://ror.org/05symbg58","country_code":"IT","type":"facility","lineage":["https://openalex.org/I160013858","https://openalex.org/I4210160382"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandro Passaro","raw_affiliation_strings":["Universit\u00e0 di Pisa, Largo B. Pontecorvo, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"Universit\u00e0 di Pisa, Largo B. Pontecorvo, Pisa, Italy","institution_ids":["https://openalex.org/I4210160382","https://openalex.org/I108290504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019191173","display_name":"Antonina Starita","orcid":null},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]},{"id":"https://openalex.org/I4210160382","display_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Pisa","ror":"https://ror.org/05symbg58","country_code":"IT","type":"facility","lineage":["https://openalex.org/I160013858","https://openalex.org/I4210160382"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonina Starita","raw_affiliation_strings":["Universit\u00e0 di Pisa, Largo B. Pontecorvo, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"Universit\u00e0 di Pisa, Largo B. Pontecorvo, Pisa, Italy","institution_ids":["https://openalex.org/I4210160382","https://openalex.org/I108290504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103740127"],"corresponding_institution_ids":["https://openalex.org/I108290504","https://openalex.org/I4210160382"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10307064,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"79","last_page":"81"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9656000137329102,"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/T11269","display_name":"Algorithms and Data Compression","score":0.961899995803833,"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/interpretability","display_name":"Interpretability","score":0.9205392003059387},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.7238852977752686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.698169469833374},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6481714844703674},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5775197744369507},{"id":"https://openalex.org/keywords/join","display_name":"Join (topology)","score":0.5706750750541687},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5568385124206543},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44579648971557617},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3789339065551758},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32003527879714966},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2240779995918274}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9205392003059387},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.7238852977752686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.698169469833374},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6481714844703674},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5775197744369507},{"id":"https://openalex.org/C2776124973","wikidata":"https://www.wikidata.org/wiki/Q3183033","display_name":"Join (topology)","level":2,"score":0.5706750750541687},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5568385124206543},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44579648971557617},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3789339065551758},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32003527879714966},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2240779995918274},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1102256.1102272","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1102256.1102272","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th annual workshop on Genetic and evolutionary computation","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":15,"referenced_works":["https://openalex.org/W1505823450","https://openalex.org/W1971784203","https://openalex.org/W1989101984","https://openalex.org/W2052153221","https://openalex.org/W2057712948","https://openalex.org/W2088227117","https://openalex.org/W2138745909","https://openalex.org/W2149230623","https://openalex.org/W2286297822","https://openalex.org/W4244075810","https://openalex.org/W4285719527","https://openalex.org/W6638743307","https://openalex.org/W6647457754","https://openalex.org/W6663399104","https://openalex.org/W6770641979"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W1986582023","https://openalex.org/W2966829450"],"abstract_inverted_index":{"XCS":[0,42],"is":[1,29],"a":[2,25,46,55,60,68],"stochastic":[3],"algorithm,":[4],"so":[5],"it":[6],"does":[7],"not":[8],"guarantee":[9],"to":[10,35],"produce":[11],"the":[12,18,37,64],"same":[13,19],"results":[14,65],"when":[15],"run":[16],"with":[17],"input.":[20],"When":[21],"interpretability":[22],"matters,":[23],"obtaining":[24],"single,":[26],"stable":[27],"result":[28],"important.":[30],"We":[31,52],"propose":[32],"an":[33],"algorithm":[34],"join":[36],"rules":[38],"produced":[39],"from":[40],"many":[41],"runs,":[43],"based":[44],"on":[45,67],"measure":[47],"of":[48],"distance":[49],"between":[50],"rules.":[51],"also":[53],"suggest":[54],"general":[56],"definition":[57],"for":[58],"such":[59],"measure,":[61],"and":[62],"show":[63],"obtained":[66],"complex":[69],"data":[70],"set.":[71]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}