{"id":"https://openalex.org/W2157568408","doi":"https://doi.org/10.1109/cec.2015.7256933","title":"ADR-Miner: An ant-based data reduction algorithm for classification","display_name":"ADR-Miner: An ant-based data reduction algorithm for classification","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W2157568408","doi":"https://doi.org/10.1109/cec.2015.7256933","mag":"2157568408"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2015.7256933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2015.7256933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Congress on Evolutionary Computation (CEC)","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/A5017082648","display_name":"Ismail Mohamed","orcid":"https://orcid.org/0000-0002-7465-7123"},"institutions":[{"id":"https://openalex.org/I80693520","display_name":"American University in Cairo","ror":"https://ror.org/0176yqn58","country_code":"EG","type":"education","lineage":["https://openalex.org/I80693520"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Ismail M. Anwar","raw_affiliation_strings":["Dept. of Computer Science & Engineering, American University in Cairo, Cairo, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science & Engineering, American University in Cairo, Cairo, Egypt","institution_ids":["https://openalex.org/I80693520"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101950185","display_name":"Khalid M. Salama","orcid":"https://orcid.org/0000-0001-7535-5154"},"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":"Khalid M. Salama","raw_affiliation_strings":["School of Computing, University of Kent, Canterbury, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, University of Kent, Canterbury, UK","institution_ids":["https://openalex.org/I20581793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079888480","display_name":"Ashraf M. Abdelbar","orcid":"https://orcid.org/0000-0002-7921-1892"},"institutions":[{"id":"https://openalex.org/I48890080","display_name":"Brandon University","ror":"https://ror.org/02qp25a50","country_code":"CA","type":"education","lineage":["https://openalex.org/I48890080"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ashraf M. Abdelbar","raw_affiliation_strings":["Dept. of Mathematics & Computer Science, Brandon University, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Mathematics & Computer Science, Brandon University, Canada","institution_ids":["https://openalex.org/I48890080"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7807,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.88840298,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"515","last_page":"521"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9998000264167786,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9998000264167786,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9839000105857849,"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":0.9811999797821045,"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":0.7219793200492859},{"id":"https://openalex.org/keywords/ant-colony-optimization-algorithms","display_name":"Ant colony optimization algorithms","score":0.6299589276313782},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.629718542098999},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6292901635169983},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6182018518447876},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5983105897903442},{"id":"https://openalex.org/keywords/wilcoxon-signed-rank-test","display_name":"Wilcoxon signed-rank test","score":0.5484784245491028},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.47889986634254456},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.44911420345306396},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.413540780544281},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09963184595108032}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7219793200492859},{"id":"https://openalex.org/C40128228","wikidata":"https://www.wikidata.org/wiki/Q460851","display_name":"Ant colony optimization algorithms","level":2,"score":0.6299589276313782},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.629718542098999},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6292901635169983},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6182018518447876},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5983105897903442},{"id":"https://openalex.org/C206041023","wikidata":"https://www.wikidata.org/wiki/Q1751970","display_name":"Wilcoxon signed-rank test","level":3,"score":0.5484784245491028},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.47889986634254456},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.44911420345306396},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.413540780544281},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09963184595108032},{"id":"https://openalex.org/C12868164","wikidata":"https://www.wikidata.org/wiki/Q1424533","display_name":"Mann\u2013Whitney U test","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2015.7256933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2015.7256933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Congress on Evolutionary Computation (CEC)","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":44,"referenced_works":["https://openalex.org/W118796026","https://openalex.org/W178407265","https://openalex.org/W1504164536","https://openalex.org/W1504694836","https://openalex.org/W1563088657","https://openalex.org/W1565377632","https://openalex.org/W1565746575","https://openalex.org/W1569512666","https://openalex.org/W1570448133","https://openalex.org/W1573676079","https://openalex.org/W1663973292","https://openalex.org/W1748133846","https://openalex.org/W1971505868","https://openalex.org/W1975009952","https://openalex.org/W1983989471","https://openalex.org/W2024548032","https://openalex.org/W2025728082","https://openalex.org/W2058514166","https://openalex.org/W2070448096","https://openalex.org/W2076375504","https://openalex.org/W2082942022","https://openalex.org/W2107631366","https://openalex.org/W2107686700","https://openalex.org/W2118051273","https://openalex.org/W2122496402","https://openalex.org/W2125965138","https://openalex.org/W2132485937","https://openalex.org/W2146230369","https://openalex.org/W2147169507","https://openalex.org/W2152744490","https://openalex.org/W2158724449","https://openalex.org/W2165203444","https://openalex.org/W2482589566","https://openalex.org/W2911678770","https://openalex.org/W3120740533","https://openalex.org/W4235072768","https://openalex.org/W4235456164","https://openalex.org/W4244238212","https://openalex.org/W4285719527","https://openalex.org/W4292408555","https://openalex.org/W6630256538","https://openalex.org/W6633774736","https://openalex.org/W6656603431","https://openalex.org/W6788247690"],"related_works":["https://openalex.org/W3085397617","https://openalex.org/W2100132513","https://openalex.org/W2137444486","https://openalex.org/W2434800423","https://openalex.org/W2182624400","https://openalex.org/W4299900939","https://openalex.org/W2014360508","https://openalex.org/W2767428579","https://openalex.org/W2125776999","https://openalex.org/W2069475801"],"abstract_inverted_index":{"Classification":[0],"is":[1,23,43,53,109,153],"a":[2,15,26,97],"central":[3],"problem":[4],"in":[5],"the":[6,21,35,46,56,59,63,86,117,121,141,145],"fields":[7],"of":[8,18,37,58,88,120,144],"data":[9,47,61,74,89,99,130],"mining":[10,48],"and":[11,50,80],"machine":[12],"learning.":[13],"Using":[14],"training":[16,60],"set":[17],"labelled":[19],"instances,":[20],"task":[22],"to":[24,33,45,54,66,111,115,155],"build":[25],"model":[27],"(classifier)":[28],"that":[29,102,138],"can":[30],"be":[31],"used":[32],"predict":[34],"class":[36],"new":[38],"unlabelled":[39],"instances.":[40],"Data":[41],"preparation":[42,75],"crucial":[44],"process,":[49],"its":[51],"focus":[52],"improve":[55,116],"fitness":[57],"for":[62],"learning":[64],"algorithms":[65,136],"produce":[67],"more":[68],"effective":[69],"classifiers.":[70,147],"Two":[71],"widely":[72],"applied":[73],"methods":[76],"are":[77],"feature":[78],"selection":[79,114],"instance":[81,113],"selection,":[82],"which":[83],"fall":[84],"under":[85],"umbrella":[87],"reduction.":[90],"In":[91],"this":[92],"paper,":[93],"we":[94],"introduce":[95],"ADR-Miner,":[96],"novel":[98],"reduction":[100],"algorithm":[101],"utilizes":[103],"ant":[104],"colony":[105],"optimization":[106],"(ACO).":[107],"ADR-Miner":[108,139],"designed":[110],"perform":[112],"predictive":[118,142],"effectiveness":[119],"constructed":[122],"classification":[123,135],"models.":[124],"Empirical":[125],"evaluations":[126],"on":[127],"20":[128],"benchmark":[129],"sets":[131],"with":[132],"three":[133],"well-known":[134],"show":[137],"improves":[140],"quality":[143],"produced":[146],"The":[148],"non-parametric":[149],"Wilcoxon":[150],"signed-ranks":[151],"test":[152],"employed":[154],"determine":[156],"statistical":[157],"significance.":[158]},"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":1},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}