{"id":"https://openalex.org/W2991209718","doi":"https://doi.org/10.1109/isncc.2019.8909099","title":"A Systematic Approach to Identify an Appropriate Classifier for Limited-Sized Data Sets","display_name":"A Systematic Approach to Identify an Appropriate Classifier for Limited-Sized Data Sets","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2991209718","doi":"https://doi.org/10.1109/isncc.2019.8909099","mag":"2991209718"},"language":"en","primary_location":{"id":"doi:10.1109/isncc.2019.8909099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isncc.2019.8909099","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Symposium on Networks, Computers and Communications (ISNCC)","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/A5086666955","display_name":"Alanoud Bin Dris","orcid":"https://orcid.org/0000-0002-8554-2639"},"institutions":[{"id":"https://openalex.org/I1284598098","display_name":"King Abdulaziz City for Science and Technology","ror":"https://ror.org/05tdz6m39","country_code":"SA","type":"facility","lineage":["https://openalex.org/I1284598098"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Alanoud Bin Dris","raw_affiliation_strings":["National Center for Cyber Security Technology, King Abdulaziz City for Science and Technology, Riyadh, KSA","National Center for Cyber Security Technology, King Abdulaziz City for Science and Technology,,,Riyadh,KSA,"],"affiliations":[{"raw_affiliation_string":"National Center for Cyber Security Technology, King Abdulaziz City for Science and Technology, Riyadh, KSA","institution_ids":["https://openalex.org/I1284598098"]},{"raw_affiliation_string":"National Center for Cyber Security Technology, King Abdulaziz City for Science and Technology,,,Riyadh,KSA,","institution_ids":["https://openalex.org/I1284598098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031097681","display_name":"Najla Alzakari","orcid":"https://orcid.org/0000-0003-4261-8899"},"institutions":[{"id":"https://openalex.org/I1284598098","display_name":"King Abdulaziz City for Science and Technology","ror":"https://ror.org/05tdz6m39","country_code":"SA","type":"facility","lineage":["https://openalex.org/I1284598098"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Najla Alzakari","raw_affiliation_strings":["National Center for Cyber Security Technology, King Abdulaziz City for Science and Technology, Riyadh, KSA","National Center for Cyber Security Technology, King Abdulaziz City for Science and Technology,,,Riyadh,KSA,"],"affiliations":[{"raw_affiliation_string":"National Center for Cyber Security Technology, King Abdulaziz City for Science and Technology, Riyadh, KSA","institution_ids":["https://openalex.org/I1284598098"]},{"raw_affiliation_string":"National Center for Cyber Security Technology, King Abdulaziz City for Science and Technology,,,Riyadh,KSA,","institution_ids":["https://openalex.org/I1284598098"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037052046","display_name":"Heba Kurdi","orcid":"https://orcid.org/0000-0001-6110-9657"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]},{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]}],"countries":["FR","SA"],"is_corresponding":false,"raw_author_name":"Heba Kurdi","raw_affiliation_strings":["Computer Science Department, King Saud University, Riyadh, KSA","King Saud University,,Computer Science Department,Riyadh,KSA,"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, King Saud University, Riyadh, KSA","institution_ids":["https://openalex.org/I28022161"]},{"raw_affiliation_string":"King Saud University,,Computer Science Department,Riyadh,KSA,","institution_ids":["https://openalex.org/I28022161","https://openalex.org/I4210156583"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086666955"],"corresponding_institution_ids":["https://openalex.org/I1284598098"],"apc_list":null,"apc_paid":null,"fwci":0.3391,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.70340823,"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":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.996999979019165,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9944000244140625,"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/c4.5-algorithm","display_name":"C4.5 algorithm","score":0.7809621691703796},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.727676510810852},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.7114402651786804},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6772551536560059},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6751267313957214},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6414984464645386},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6171927452087402},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5025532245635986},{"id":"https://openalex.org/keywords/data-classification","display_name":"Data classification","score":0.47513797879219055},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4616282284259796},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44852110743522644},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.41039925813674927}],"concepts":[{"id":"https://openalex.org/C52003472","wikidata":"https://www.wikidata.org/wiki/Q1022655","display_name":"C4.5 algorithm","level":4,"score":0.7809621691703796},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.727676510810852},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.7114402651786804},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6772551536560059},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6751267313957214},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6414984464645386},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6171927452087402},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5025532245635986},{"id":"https://openalex.org/C2780724565","wikidata":"https://www.wikidata.org/wiki/Q5227256","display_name":"Data classification","level":2,"score":0.47513797879219055},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4616282284259796},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44852110743522644},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.41039925813674927},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isncc.2019.8909099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isncc.2019.8909099","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Symposium on Networks, Computers and Communications (ISNCC)","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":50,"referenced_works":["https://openalex.org/W77328001","https://openalex.org/W572368116","https://openalex.org/W1528081447","https://openalex.org/W1529097724","https://openalex.org/W1565377632","https://openalex.org/W1570448133","https://openalex.org/W1680392829","https://openalex.org/W1869391892","https://openalex.org/W1871887906","https://openalex.org/W1998924980","https://openalex.org/W2013494233","https://openalex.org/W2013818045","https://openalex.org/W2023158516","https://openalex.org/W2045256553","https://openalex.org/W2057439484","https://openalex.org/W2068773963","https://openalex.org/W2084812512","https://openalex.org/W2086093608","https://openalex.org/W2115975294","https://openalex.org/W2133990480","https://openalex.org/W2135899410","https://openalex.org/W2140190241","https://openalex.org/W2140899075","https://openalex.org/W2145632879","https://openalex.org/W2147944429","https://openalex.org/W2166784953","https://openalex.org/W2190570825","https://openalex.org/W2206299551","https://openalex.org/W2288450706","https://openalex.org/W2294345429","https://openalex.org/W2398816077","https://openalex.org/W2436242677","https://openalex.org/W2463044306","https://openalex.org/W2482589566","https://openalex.org/W2488162154","https://openalex.org/W2511041341","https://openalex.org/W2516326535","https://openalex.org/W2530217189","https://openalex.org/W2561789691","https://openalex.org/W2577858793","https://openalex.org/W2726539084","https://openalex.org/W2768131889","https://openalex.org/W2905196371","https://openalex.org/W3196473288","https://openalex.org/W4238688872","https://openalex.org/W4247043859","https://openalex.org/W4285719527","https://openalex.org/W6637386731","https://openalex.org/W6639165917","https://openalex.org/W6712927329"],"related_works":["https://openalex.org/W2550903270","https://openalex.org/W3042058919","https://openalex.org/W2999599198","https://openalex.org/W1601101968","https://openalex.org/W2745294951","https://openalex.org/W2606427759","https://openalex.org/W3153852854","https://openalex.org/W2185890586","https://openalex.org/W3135387830","https://openalex.org/W3016397788","https://openalex.org/W2992345747","https://openalex.org/W2009482011","https://openalex.org/W1608569800","https://openalex.org/W3120834955","https://openalex.org/W2015738394","https://openalex.org/W3112445271","https://openalex.org/W1024312521","https://openalex.org/W2333600326","https://openalex.org/W29695279","https://openalex.org/W2303131580"],"abstract_inverted_index":{"Data":[0],"size":[1,13,45],"is":[2,52],"a":[3,17,24,30,39,58,112],"main":[4],"issue":[5,122],"in":[6,16,157],"any":[7],"data":[8,14,46,64,77,91,120,131,174,198],"mining":[9],"application,":[10],"since":[11],"limited":[12,44],"results":[15],"small":[18,63,130,173],"training":[19],"set":[20],"that":[21,41,93,187],"leads":[22],"to":[23,56,117,153],"poor":[25,31],"classification":[26,32,60,72],"model":[27],"and":[28,146,168,182],"therefore":[29],"performance.":[33],"Although,":[34],"many":[35],"real-life":[36],"applications":[37],"need":[38],"classifier":[40,128],"deals":[42],"with":[43,179],"sets":[47,92,132,175],"appropriately.":[48],"A":[49],"considerable":[50],"interest":[51],"focused":[53],"on":[54,69],"how":[55],"achieve":[57],"reasonable":[59],"performance":[61,156,192],"for":[62,129],"sets.":[65,199],"Current":[66],"works":[67],"focus":[68],"either":[70],"enhancing":[71],"algorithms":[73],"or":[74,89],"enlarging":[75],"the":[76,86,97,101,109,119,125,155,190,196],"sets,":[78],"these":[79],"solutions":[80],"have":[81],"limitations":[82],"such":[83],"as":[84],"increasing":[85],"computational":[87],"time,":[88],"reaching":[90],"do":[94],"not":[95],"reflect":[96],"actual":[98],"population":[99],"of":[100,159,195],"real":[102],"data.":[103],"However,":[104],"this":[105],"research":[106],"looks":[107],"at":[108],"problem":[110],"from":[111,176],"different":[113,161,180],"angel,":[114],"it":[115],"aims":[116],"address":[118],"quantity":[121],"by":[123],"identifying":[124],"most":[126,194],"appropriate":[127],"using":[133],"three":[134],"well-known":[135],"classifiers":[136],"which":[137,163],"are":[138,151,164],"Decision":[139],"tree":[140],"(J48),":[141],"Support":[142],"Vector":[143],"Machine":[144],"(SVM)":[145],"Na\u00efve":[147],"Bayes.":[148],"Extensive":[149],"experiments":[150],"conducted":[152],"examine":[154],"terms":[158],"four":[160],"measures":[162],"accuracy,":[165],"f-measure,":[166],"sensitivity":[167],"specificity.":[169],"We":[170],"used":[171,197],"six":[172],"UCI":[177],"repository":[178],"attributes":[181],"instances":[183],"sizes.":[184],"Results":[185],"revealed":[186],"SVM":[188],"accomplished":[189],"best":[191],"along":[193]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
