{"id":"https://openalex.org/W4200030036","doi":"https://doi.org/10.1109/commnet52204.2021.9641998","title":"Supervised Machine Learning: A Survey","display_name":"Supervised Machine Learning: A Survey","publication_year":2021,"publication_date":"2021-12-03","ids":{"openalex":"https://openalex.org/W4200030036","doi":"https://doi.org/10.1109/commnet52204.2021.9641998"},"language":"en","primary_location":{"id":"doi:10.1109/commnet52204.2021.9641998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/commnet52204.2021.9641998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Advanced Communication Technologies and Networking (CommNet)","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/A5058612594","display_name":"Mohammed Amine El Mrabet","orcid":"https://orcid.org/0000-0002-2644-8909"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mohammed Amine El Mrabet","raw_affiliation_strings":["LMASI laboratory, FPD, Mohammed First University, Nador, Morocco"],"affiliations":[{"raw_affiliation_string":"LMASI laboratory, FPD, Mohammed First University, Nador, Morocco","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001534531","display_name":"Khalid El Makkaoui","orcid":"https://orcid.org/0000-0002-9569-9162"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Khalid El Makkaoui","raw_affiliation_strings":["LaMAO laboratory, MSC team, FPD, Mohammed First University, Nador, Morocco"],"affiliations":[{"raw_affiliation_string":"LaMAO laboratory, MSC team, FPD, Mohammed First University, Nador, Morocco","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076281485","display_name":"Ahmed Faize","orcid":"https://orcid.org/0000-0001-7510-8508"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ahmed Faize","raw_affiliation_strings":["LMASI laboratory, FPD, Mohammed First University, Nador, Morocco"],"affiliations":[{"raw_affiliation_string":"LMASI laboratory, FPD, Mohammed First University, Nador, Morocco","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5058612594"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.6885,"has_fulltext":false,"cited_by_count":67,"citation_normalized_percentile":{"value":0.98156304,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.994700014591217,"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":0.994700014591217,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9945999979972839,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9902999997138977,"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/exploit","display_name":"Exploit","score":0.8243504166603088},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8106180429458618},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.749171257019043},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7232692241668701},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7084054350852966},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.675840437412262},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6340318918228149},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5543693900108337},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5278064012527466},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.43813174962997437},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.24848416447639465},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.18634074926376343},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08904698491096497}],"concepts":[{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.8243504166603088},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8106180429458618},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.749171257019043},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7232692241668701},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7084054350852966},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.675840437412262},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6340318918228149},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5543693900108337},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5278064012527466},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.43813174962997437},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.24848416447639465},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.18634074926376343},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08904698491096497},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"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:10.1109/commnet52204.2021.9641998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/commnet52204.2021.9641998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 4th International Conference on Advanced Communication Technologies and Networking (CommNet)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1616446408","https://openalex.org/W2506667019","https://openalex.org/W2514173981","https://openalex.org/W2739315321","https://openalex.org/W2788388592","https://openalex.org/W2791982904","https://openalex.org/W2798526460","https://openalex.org/W2798878556","https://openalex.org/W2802502226","https://openalex.org/W2804100936","https://openalex.org/W2809925683","https://openalex.org/W2915260273","https://openalex.org/W2955013293","https://openalex.org/W2961735608","https://openalex.org/W2973016830","https://openalex.org/W2975749708","https://openalex.org/W2990217975","https://openalex.org/W2995098893","https://openalex.org/W2996955463","https://openalex.org/W2997604048","https://openalex.org/W3000339128","https://openalex.org/W3002469388","https://openalex.org/W3008078642","https://openalex.org/W3013204578","https://openalex.org/W3015246755","https://openalex.org/W3046590953","https://openalex.org/W3099098707","https://openalex.org/W3109379098","https://openalex.org/W3120641496","https://openalex.org/W3126170383","https://openalex.org/W4247911705","https://openalex.org/W6781882315","https://openalex.org/W7046312936"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"With":[0],"the":[1,15,37,46,94,137,161],"fast":[2],"up-growth":[3],"and":[4,9,12,28,57,61,72,74,80,83,101,127,141],"evolution":[5],"of":[6,17,24,39,42,114,131,157,163],"new":[7],"information":[8],"communication":[10],"technologies":[11],"due":[13],"to":[14,49,55,88,143],"factor":[16],"spread":[18],"universal-connected":[19],"objects,":[20],"an":[21],"ample":[22],"amount":[23],"data":[25],"has":[26],"accumulated":[27],"become":[29],"available":[30],"for":[31],"every":[32],"individual":[33],"or":[34],"organization":[35],"in":[36,65,123,160],"form":[38],"a":[40,111,124,150],"set":[41],"big":[43,52],"datasets.":[44],"Today":[45],"world":[47],"needs":[48],"exploit":[50],"those":[51,90,158],"cumulated":[53],"datasets":[54],"understand":[56],"interpret":[58],"existent":[59],"phenomena":[60],"other":[62],"joint":[63],"problems":[64],"different":[66],"sectors":[67],"(e.g.,":[68],"economic,":[69],"health,":[70],"education,":[71],"security)":[73],"enhance":[75],"well-being":[76],"by":[77,92],"introducing":[78],"intelligent":[79],"automatic":[81],"processes":[82],"services.":[84],"Artificial":[85],"intelligence":[86],"comes":[87],"answer":[89],"questions":[91],"leveraging":[93],"essential":[95],"subfields":[96],"like":[97],"machine":[98,121],"learning":[99,117,122],"(ML)":[100],"deep":[102,112],"learning.":[103],"In":[104],"this":[105],"paper,":[106],"we":[107,135,148],"supply":[108],"readers":[109],"with":[110],"understanding":[113],"ML-based":[115],"supervised":[116],"(SL).":[118],"We":[119],"introduce":[120],"general":[125],"way":[126],"present":[128],"its":[129],"domains":[130],"application.":[132],"After":[133],"that,":[134],"discuss":[136],"popular":[138],"SL-used":[139],"algorithms":[140,159],"how":[142],"evaluate":[144],"their":[145],"performance.":[146],"Then,":[147],"give":[149],"benchmark":[151],"comparison":[152],"based":[153],"on":[154],"our":[155],"implementation":[156],"field":[162],"heart-failure":[164],"prediction.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}