{"id":"https://openalex.org/W2041915825","doi":"https://doi.org/10.7551/978-0-262-31709-2-ch017","title":"Rapid Rule Compaction Strategies for Global Knowledge Discovery in a Supervised Learning Classifier System","display_name":"Rapid Rule Compaction Strategies for Global Knowledge Discovery in a Supervised Learning Classifier System","publication_year":2013,"publication_date":"2013-08-29","ids":{"openalex":"https://openalex.org/W2041915825","doi":"https://doi.org/10.7551/978-0-262-31709-2-ch017","mag":"2041915825"},"language":"en","primary_location":{"id":"doi:10.7551/978-0-262-31709-2-ch017","is_oa":false,"landing_page_url":"https://doi.org/10.7551/978-0-262-31709-2-ch017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Artificial Life, ECAL 2013","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/A5100679091","display_name":"Jie Tan","orcid":"https://orcid.org/0000-0002-8893-4566"},"institutions":[{"id":"https://openalex.org/I107672454","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22","country_code":"US","type":"education","lineage":["https://openalex.org/I107672454"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jie Tan","raw_affiliation_strings":["Dartmouth College, Hanover, United States"],"affiliations":[{"raw_affiliation_string":"Dartmouth College, Hanover, United States","institution_ids":["https://openalex.org/I107672454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032971510","display_name":"Jason H. Moore","orcid":"https://orcid.org/0000-0002-5015-1099"},"institutions":[{"id":"https://openalex.org/I1289422878","display_name":"Dartmouth\u2013Hitchcock Medical Center","ror":"https://ror.org/00d1dhh09","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I107672454","https://openalex.org/I1289422878","https://openalex.org/I4390039337"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jason Moore","raw_affiliation_strings":["Dartmouth\u2013Hitchcock Medical Center, Lebanon, United States"],"affiliations":[{"raw_affiliation_string":"Dartmouth\u2013Hitchcock Medical Center, Lebanon, United States","institution_ids":["https://openalex.org/I1289422878"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023718023","display_name":"Ryan J. Urbanowicz","orcid":"https://orcid.org/0000-0002-0487-5555"},"institutions":[{"id":"https://openalex.org/I107672454","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22","country_code":"US","type":"education","lineage":["https://openalex.org/I107672454"]},{"id":"https://openalex.org/I4210166639","display_name":"Dartmouth Hospital","ror":"https://ror.org/02j3qj605","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I4210166639"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Ryan Urbanowicz","raw_affiliation_strings":["Dartmouth College"],"affiliations":[{"raw_affiliation_string":"Dartmouth College","institution_ids":["https://openalex.org/I4210166639","https://openalex.org/I107672454"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100679091"],"corresponding_institution_ids":["https://openalex.org/I107672454"],"apc_list":null,"apc_paid":null,"fwci":3.9539,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.93648679,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"110","last_page":"117"},"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":0.9871000051498413,"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/T11663","display_name":"Viral Infectious Diseases and Gene Expression in Insects","score":0.9409999847412109,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6641515493392944},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6202462911605835},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5566312074661255},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.5163565874099731},{"id":"https://openalex.org/keywords/compaction","display_name":"Compaction","score":0.5066143274307251},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4604194462299347},{"id":"https://openalex.org/keywords/knowledge-based-systems","display_name":"Knowledge-based systems","score":0.44665592908859253},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.42376214265823364},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23109936714172363},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10016447305679321},{"id":"https://openalex.org/keywords/geotechnical-engineering","display_name":"Geotechnical engineering","score":0.06929811835289001}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6641515493392944},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6202462911605835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5566312074661255},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.5163565874099731},{"id":"https://openalex.org/C196715460","wikidata":"https://www.wikidata.org/wiki/Q1414356","display_name":"Compaction","level":2,"score":0.5066143274307251},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4604194462299347},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.44665592908859253},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.42376214265823364},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23109936714172363},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10016447305679321},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.06929811835289001}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.7551/978-0-262-31709-2-ch017","is_oa":false,"landing_page_url":"https://doi.org/10.7551/978-0-262-31709-2-ch017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Artificial Life, ECAL 2013","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.646.3316","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.646.3316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mitpress.mit.edu/sites/default/files/titles/content/ecal13/978-0-262-31709-2-ch017.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.75}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W42416252","https://openalex.org/W61718298","https://openalex.org/W191836454","https://openalex.org/W1511259544","https://openalex.org/W1537504538","https://openalex.org/W1591122545","https://openalex.org/W1971490797","https://openalex.org/W1989101984","https://openalex.org/W2009718765","https://openalex.org/W2030963378","https://openalex.org/W2067811518","https://openalex.org/W2080276665","https://openalex.org/W2098888151","https://openalex.org/W2114917617","https://openalex.org/W2148078825","https://openalex.org/W2167814825","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1520100787","https://openalex.org/W3148901273","https://openalex.org/W2357854711","https://openalex.org/W2904591968","https://openalex.org/W2508944927","https://openalex.org/W2793744252","https://openalex.org/W2888716383","https://openalex.org/W4376624582","https://openalex.org/W1993999021","https://openalex.org/W207286913"],"abstract_inverted_index":{"Michigan-style":[0],"learning":[1],"classifier":[2],"systems":[3],"have":[4],"availed":[5],"them-selves":[6],"as":[7,96],"a":[8,54,114,135,183],"promising":[9],"modeling":[10],"and":[11,68,104,113,120,157,169],"data":[12],"mining":[13],"strategy":[14,56],"for":[15,57,189],"bioinformaticists":[16],"seeking":[17],"to":[18,77,123,132,138,176],"connect":[19],"predictive":[20],"variables":[21],"with":[22,62,84,134],"disease":[23],"phenotypes.":[24],"The":[25],"resulting":[26],"\u2018model":[27],"\u2019":[28],"learned":[29],"by":[30],"these":[31],"algorithms":[32],"is":[33,53,145,159],"comprised":[34],"of":[35,39,42,65,91,171],"an":[36],"entire":[37],"population":[38,61,81,85,150],"rules,":[40],"some":[41],"which":[43,142],"will":[44],"inevitably":[45],"be":[46,177],"redundant":[47],"or":[48,192],"poor":[49],"predictors.":[50],"Rule":[51],"compaction":[52,74,109],"post-processing":[55],"consolidating":[58],"this":[59],"rule":[60,73,80,108,116,149,155],"the":[63,89,99,167,178],"goal":[64],"improving":[66],"interpretation":[67],"knowledge":[69,139],"discovery.":[70],"However,":[71],"existing":[72,125],"strategies":[75,110,129],"tend":[76],"reduce":[78],"overall":[79],"performance":[82,197],"along":[83],"size,":[86],"especially":[87],"in":[88,141,186,194],"context":[90],"noisy":[92],"problem":[93],"domains":[94],"such":[95],"bioinformatics.":[97],"In":[98],"present":[100],"study":[101],"we":[102],"introduce":[103],"evaluate":[105],"two":[106],"new":[107,128],"(QRC,":[111],"PDRC)":[112],"simple":[115],"filtering":[117],"method":[118],"(QRF),":[119],"compare":[121],"them":[122],"three":[124],"methodologies.":[126],"These":[127],"are":[130],"tuned":[131],"fit":[133],"global":[136],"approach":[137,181],"discovery":[140],"less":[143],"emphasis":[144],"placed":[146,160],"on":[147,161],"minimizing":[148],"size":[151],"(to":[152],"facilitate":[153],"manual":[154],"inspection)":[156],"more":[158],"preserving":[162],"performance.":[163],"This":[164],"work":[165],"iden-tified":[166],"strengths":[168],"weaknesses":[170],"each":[172],"approach,":[173],"sug-gesting":[174],"PDRC":[175],"most":[179],"balanced":[180],"trading":[182],"minimal":[184],"loss":[185],"testing":[187],"accuracy":[188],"significant":[190],"gains":[191],"con-sistency":[193],"all":[195],"other":[196],"statistics.":[198]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}