{"id":"https://openalex.org/W2094299830","doi":"https://doi.org/10.1145/2739482.2768450","title":"Discovering Regression Rules with Ant Colony Optimization","display_name":"Discovering Regression Rules with Ant Colony Optimization","publication_year":2015,"publication_date":"2015-07-10","ids":{"openalex":"https://openalex.org/W2094299830","doi":"https://doi.org/10.1145/2739482.2768450","mag":"2094299830"},"language":"en","primary_location":{"id":"doi:10.1145/2739482.2768450","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2739482.2768450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Publication of the 2015 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/A5046998284","display_name":"James Brookhouse","orcid":"https://orcid.org/0000-0002-9802-7070"},"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"]},{"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"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"James Brookhouse","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/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":false,"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"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5046998284"],"corresponding_institution_ids":["https://openalex.org/I167056439","https://openalex.org/I20581793"],"apc_list":null,"apc_paid":null,"fwci":1.7258,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.88346446,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1005","last_page":"1012"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.994700014591217,"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/T10320","display_name":"Neural Networks and Applications","score":0.994700014591217,"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":0.9919999837875366,"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":0.9887999892234802,"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/ant-colony-optimization-algorithms","display_name":"Ant colony optimization algorithms","score":0.8379791975021362},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6193593144416809},{"id":"https://openalex.org/keywords/ant","display_name":"ANT","score":0.5765619874000549},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5544765591621399},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5091440081596375},{"id":"https://openalex.org/keywords/ant-colony","display_name":"Ant colony","score":0.4499552845954895},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3545899987220764},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2058877944946289},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1787208616733551}],"concepts":[{"id":"https://openalex.org/C40128228","wikidata":"https://www.wikidata.org/wiki/Q460851","display_name":"Ant colony optimization algorithms","level":2,"score":0.8379791975021362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6193593144416809},{"id":"https://openalex.org/C97467695","wikidata":"https://www.wikidata.org/wiki/Q295802","display_name":"ANT","level":2,"score":0.5765619874000549},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5544765591621399},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5091440081596375},{"id":"https://openalex.org/C60891933","wikidata":"https://www.wikidata.org/wiki/Q796575","display_name":"Ant colony","level":3,"score":0.4499552845954895},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3545899987220764},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2058877944946289},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1787208616733551},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2739482.2768450","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2739482.2768450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"},{"id":"pmh:oai:kar.kent.ac.uk:48689","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2739482.2768450>)","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W604429516","https://openalex.org/W1523293200","https://openalex.org/W1573676079","https://openalex.org/W1769852110","https://openalex.org/W1781794689","https://openalex.org/W1971505868","https://openalex.org/W1997834698","https://openalex.org/W2005297674","https://openalex.org/W2058514166","https://openalex.org/W2122284941","https://openalex.org/W2125965138","https://openalex.org/W2132485937","https://openalex.org/W3023612622","https://openalex.org/W3147414854","https://openalex.org/W4229930971"],"related_works":["https://openalex.org/W4237535716","https://openalex.org/W2110363036","https://openalex.org/W2347951034","https://openalex.org/W2388326823","https://openalex.org/W2366876790","https://openalex.org/W2071981049","https://openalex.org/W2381829748","https://openalex.org/W2244460820","https://openalex.org/W2109336245","https://openalex.org/W2061313076"],"abstract_inverted_index":{"The":[0,45,73],"majority":[1],"of":[2,27,70],"Ant":[3],"Colony":[4],"Optimization":[5],"(ACO)":[6],"algorithms":[7],"for":[8,41],"data":[9,42],"mining":[10,43],"have":[11],"dealt":[12],"with":[13],"classification":[14],"or":[15],"clustering":[16],"problems.":[17],"Regression":[18],"remains":[19],"an":[20,51],"unexplored":[21],"research":[22],"area":[23],"to":[24,79,89,97],"the":[25,59,71,81,90],"best":[26],"our":[28],"knowledge.":[29],"This":[30],"paper":[31],"proposes":[32],"a":[33,68,94],"new":[34,46,74],"ACO":[35],"algorithm":[36,47,75],"that":[37],"generates":[38],"regression":[39],"rules":[40],"applications.":[44],"combines":[48],"components":[49],"from":[50],"existing":[52],"deterministic":[53],"(greedy)":[54],"separate":[55],"and":[56,63],"conquer":[57],"algorithm---employing":[58],"same":[60],"quality":[61],"metrics":[62],"continuous":[64,99],"attribute":[65],"processing":[66],"techniques---allowing":[67],"comparison":[69],"two.":[72],"has":[76],"been":[77],"shown":[78],"decrease":[80],"relative":[82],"root":[83],"mean":[84],"square":[85],"error":[86],"when":[87],"compared":[88],"greedy":[91],"algorithm.":[92],"Additionally":[93],"different":[95],"approach":[96],"handling":[98],"attributes":[100],"was":[101],"investigated":[102],"showing":[103],"further":[104],"improvements":[105],"were":[106],"possible.":[107]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
