{"id":"https://openalex.org/W2005297674","doi":"https://doi.org/10.1145/2463372.2463382","title":"Improving the interpretability of classification rules discovered by an ant colony algorithm","display_name":"Improving the interpretability of classification rules discovered by an ant colony algorithm","publication_year":2013,"publication_date":"2013-07-06","ids":{"openalex":"https://openalex.org/W2005297674","doi":"https://doi.org/10.1145/2463372.2463382","mag":"2005297674"},"language":"en","primary_location":{"id":"doi:10.1145/2463372.2463382","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2463372.2463382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th annual conference 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/A5065674426","display_name":"Fernando E. B. Otero","orcid":"https://orcid.org/0000-0003-2172-297X"},"institutions":[{"id":"https://openalex.org/I167056439","display_name":"Medway School of Pharmacy","ror":"https://ror.org/00fa9v295","country_code":"GB","type":"education","lineage":["https://openalex.org/I167056439"]},{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Fernando E.B. Otero","raw_affiliation_strings":["University of Kent, Chatham Maritime, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Kent, Chatham Maritime, United Kingdom","institution_ids":["https://openalex.org/I167056439","https://openalex.org/I20581793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087201377","display_name":"Alex A. Freitas","orcid":"https://orcid.org/0000-0001-9825-4700"},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alex A. Freitas","raw_affiliation_strings":["University of Kent, Canterbury, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Kent, Canterbury, United Kingdom","institution_ids":["https://openalex.org/I20581793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065674426"],"corresponding_institution_ids":["https://openalex.org/I167056439","https://openalex.org/I20581793"],"apc_list":null,"apc_paid":null,"fwci":7.7002,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.9703034,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"73","last_page":"80"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9961000084877014,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8911401033401489},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7114062309265137},{"id":"https://openalex.org/keywords/ant-colony-optimization-algorithms","display_name":"Ant colony optimization algorithms","score":0.6908948421478271},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.5830686688423157},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5766055583953857},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5088551044464111},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.49918699264526367},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4967802166938782},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4521891176700592},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.44361430406570435},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.43752869963645935},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4277821183204651}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8911401033401489},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7114062309265137},{"id":"https://openalex.org/C40128228","wikidata":"https://www.wikidata.org/wiki/Q460851","display_name":"Ant colony optimization algorithms","level":2,"score":0.6908948421478271},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.5830686688423157},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5766055583953857},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5088551044464111},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.49918699264526367},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4967802166938782},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4521891176700592},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.44361430406570435},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.43752869963645935},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4277821183204651},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2463372.2463382","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2463372.2463382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"},{"id":"pmh:oai:kar.kent.ac.uk:34827","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2463372.2463382>)","pdf_url":null,"source":{"id":"https://openalex.org/S4377196264","display_name":"Kent Academic Repository (University of Kent)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20581793","host_organization_name":"University of Kent","host_organization_lineage":["https://openalex.org/I20581793"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W43589609","https://openalex.org/W89781147","https://openalex.org/W1523293200","https://openalex.org/W1528113134","https://openalex.org/W1565746575","https://openalex.org/W1570448133","https://openalex.org/W1575008792","https://openalex.org/W1590746293","https://openalex.org/W1601529450","https://openalex.org/W1670263352","https://openalex.org/W1833977909","https://openalex.org/W1927345150","https://openalex.org/W1971505868","https://openalex.org/W2007784145","https://openalex.org/W2008154320","https://openalex.org/W2013587512","https://openalex.org/W2058514166","https://openalex.org/W2083963062","https://openalex.org/W2119315254","https://openalex.org/W2125055259","https://openalex.org/W2125965138","https://openalex.org/W2134614151","https://openalex.org/W2152767746","https://openalex.org/W2169284845","https://openalex.org/W2517903172","https://openalex.org/W2560674852","https://openalex.org/W2773035443","https://openalex.org/W2966207845","https://openalex.org/W3120740533","https://openalex.org/W4256238177"],"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/W4312407344","https://openalex.org/W4250593825"],"abstract_inverted_index":{"The":[0,90],"vast":[1],"majority":[2],"of":[3,47,61,64,67,78,86,97,104,115,128],"Ant":[4],"Colony":[5],"Optimization":[6],"(ACO)":[7],"algorithms":[8,158],"for":[9,93],"inducing":[10],"classification":[11],"rules":[12,48,87,98,106,131,145,164],"use":[13],"an":[14,22,37,68,76],"ACO-based":[15,38],"procedure":[16,39],"to":[17,42,82,100,124,132,148],"create":[18,43],"a":[19,44,62,84,95,121,150],"rule":[20,156],"in":[21,32],"one-at-a-time":[23],"fashion.":[24],"An":[25],"improved":[26],"search":[27,55],"strategy":[28],"has":[29],"been":[30],"proposed":[31],"the":[33,53,59,79,102,109,112,116,126,129,134,137,144,160],"cAnt-MinerPB":[34,80,161],"algorithm,":[35],"where":[36],"is":[40,56,99],"used":[41,147],"complete":[45],"list":[46,63],"(ordered":[49],"rules)":[50],"-":[51],"i.e.,":[52],"ACO":[54],"guided":[57],"by":[58],"quality":[60],"rules,":[65],"instead":[66],"individual":[69,105],"rule.":[70],"In":[71],"this":[72],"paper":[73],"we":[74],"propose":[75,120],"extension":[77],"algorithm":[81],"discover":[83],"set":[85,96],"(unordered":[88],"rules).":[89],"main":[91],"motivation":[92],"discovering":[94],"improve":[101],"interpretation":[103],"and":[107,159],"evaluate":[108,125],"impact":[110],"on":[111],"predictive":[113],"accuracy":[114],"algorithm.":[117],"We":[118],"also":[119,166],"new":[122],"measure":[123,141],"interpretability":[127],"discovered":[130],"mitigate":[133],"fact":[135],"that":[136],"commonly-used":[138],"model":[139],"size":[140],"ignores":[142],"how":[143],"are":[146,165],"make":[149],"class":[151],"prediction.":[152],"Comparisons":[153],"with":[154],"state-of-the-art":[155],"induction":[157],"producing":[162],"ordered":[163],"presented.":[167]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":7}],"updated_date":"2026-03-01T08:55:55.761014","created_date":"2025-10-10T00:00:00"}
