{"id":"https://openalex.org/W2955141036","doi":"https://doi.org/10.23919/iconac.2018.8748995","title":"Comparison of Machine Learning Algorithms in Data classification","display_name":"Comparison of Machine Learning Algorithms in Data classification","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2955141036","doi":"https://doi.org/10.23919/iconac.2018.8748995","mag":"2955141036"},"language":"en","primary_location":{"id":"doi:10.23919/iconac.2018.8748995","is_oa":false,"landing_page_url":"https://doi.org/10.23919/iconac.2018.8748995","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Automation and Computing (ICAC)","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/A5055635027","display_name":"Ch Anwar Ul Hassan","orcid":"https://orcid.org/0000-0002-9952-8854"},"institutions":[{"id":"https://openalex.org/I16076960","display_name":"COMSATS University Islamabad","ror":"https://ror.org/00nqqvk19","country_code":"PK","type":"education","lineage":["https://openalex.org/I16076960"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Ch Anwar Ul  Hassan","raw_affiliation_strings":["COMSATS University Islamabad, Islamabad, Islamabad, PK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"COMSATS University Islamabad, Islamabad, Islamabad, PK","institution_ids":["https://openalex.org/I16076960"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103030511","display_name":"Muhammad Sufyan Khan","orcid":"https://orcid.org/0000-0003-2879-2428"},"institutions":[{"id":"https://openalex.org/I16076960","display_name":"COMSATS University Islamabad","ror":"https://ror.org/00nqqvk19","country_code":"PK","type":"education","lineage":["https://openalex.org/I16076960"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Sufyan Khan","raw_affiliation_strings":["Department of Computer Science, COMSATS Institute of Information technology, Islamabad, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, COMSATS Institute of Information technology, Islamabad, Pakistan","institution_ids":["https://openalex.org/I16076960"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022535739","display_name":"Munam Ali Shah","orcid":"https://orcid.org/0000-0002-4037-3405"},"institutions":[{"id":"https://openalex.org/I16076960","display_name":"COMSATS University Islamabad","ror":"https://ror.org/00nqqvk19","country_code":"PK","type":"education","lineage":["https://openalex.org/I16076960"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Munam Ali Shah","raw_affiliation_strings":["Department of Computer Science, COMSATS Institute of Information technology, Islamabad, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, COMSATS Institute of Information technology, Islamabad, Pakistan","institution_ids":["https://openalex.org/I16076960"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055635027"],"corresponding_institution_ids":["https://openalex.org/I16076960"],"apc_list":null,"apc_paid":null,"fwci":6.3691,"has_fulltext":false,"cited_by_count":100,"citation_normalized_percentile":{"value":0.96374061,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13038","display_name":"Internet of Things and AI","score":0.9448000192642212,"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/T13693","display_name":"Smart Systems and Machine Learning","score":0.9282000064849854,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/random-forest","display_name":"Random forest","score":0.7765426635742188},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7736687064170837},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.750194787979126},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.7480641007423401},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7369548082351685},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7281825542449951},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6614392995834351},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.5878984928131104},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.48880311846733093},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.48829054832458496},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4819750189781189},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.42491739988327026},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.41079530119895935},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3426639139652252}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7765426635742188},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7736687064170837},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.750194787979126},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.7480641007423401},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7369548082351685},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7281825542449951},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6614392995834351},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.5878984928131104},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.48880311846733093},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.48829054832458496},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4819750189781189},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.42491739988327026},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.41079530119895935},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3426639139652252},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/iconac.2018.8748995","is_oa":false,"landing_page_url":"https://doi.org/10.23919/iconac.2018.8748995","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Automation and Computing (ICAC)","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":20,"referenced_works":["https://openalex.org/W1523302822","https://openalex.org/W1549042795","https://openalex.org/W2005349364","https://openalex.org/W2166255911","https://openalex.org/W2187239759","https://openalex.org/W2286817399","https://openalex.org/W2289299143","https://openalex.org/W2316806649","https://openalex.org/W2475875369","https://openalex.org/W2534566879","https://openalex.org/W2559976729","https://openalex.org/W2571067114","https://openalex.org/W2736358774","https://openalex.org/W2770426151","https://openalex.org/W2795467064","https://openalex.org/W2806838739","https://openalex.org/W3036852063","https://openalex.org/W4251513392","https://openalex.org/W6746218878","https://openalex.org/W6779712518"],"related_works":["https://openalex.org/W4389954502","https://openalex.org/W2771255398","https://openalex.org/W2930428186","https://openalex.org/W3200027047","https://openalex.org/W3125536479","https://openalex.org/W1845209238","https://openalex.org/W4214820172","https://openalex.org/W4386984454","https://openalex.org/W3120363735","https://openalex.org/W2394323384"],"abstract_inverted_index":{"Data":[0],"Mining":[1],"is":[2,17,66,118],"used":[3],"to":[4,18,23,67],"extract":[5],"the":[6,20,34,69,97,114,121],"valuable":[7],"information":[8],"from":[9],"raw":[10],"data.":[11],"The":[12,61,106],"task":[13],"of":[14,53,63,71,99],"data":[15,22,35,42,130],"mining":[16,43],"utilize":[19],"historical":[21],"discover":[24],"hidden":[25],"patterns":[26],"that":[27,110,113],"helpful":[28],"for":[29,51],"future":[30],"decisions.":[31],"To":[32],"analyze":[33],"machine":[36,46],"learning":[37,47],"classifiers":[38,48,76,92],"are":[39,49,77],"used.":[40],"Various":[41],"approaches":[44],"and":[45,89,103,132],"applied":[50],"prediction":[52],"diseases.":[54],"Where":[55],"can":[56],"supports,":[57],"in":[58,128,135],"timely":[59],"treatment.":[60],"aim":[62],"this":[64],"work":[65],"compare":[68],"performance":[70,117],"ML":[72,75],"classifier.":[73],"These":[74],"Logistic":[78],"Regression,":[79],"Decision":[80],"Tree,":[81],"Niven":[82],"Bayes,":[83],"k-Nearest":[84],"Neighbors,":[85],"Support":[86],"Vector":[87],"Machine":[88],"Random":[90,115],"Forests":[91,116],"on":[93,96],"two":[94],"datasets":[95],"basis":[98],"its":[100],"accuracy,":[101],"precision":[102],"f":[104],"measure.":[105],"experimental":[107],"results":[108],"reveal":[109],"it's":[111],"found":[112],"better":[119],"than":[120],"other":[122],"classifiers.":[123],"It":[124],"gives":[125],"83%":[126],"accuracy":[127,134],"heart":[129],"sets":[131],"85%":[133],"hepatitis":[136],"disease":[137],"prediction.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":26},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-05-16T08:24:45.110214","created_date":"2025-10-10T00:00:00"}