{"id":"https://openalex.org/W3034948734","doi":"https://doi.org/10.1109/noms47738.2020.9110454","title":"Comparative Analysis of Network Fault Classification Using Machine Learning","display_name":"Comparative Analysis of Network Fault Classification Using Machine Learning","publication_year":2020,"publication_date":"2020-04-01","ids":{"openalex":"https://openalex.org/W3034948734","doi":"https://doi.org/10.1109/noms47738.2020.9110454","mag":"3034948734"},"language":"en","primary_location":{"id":"doi:10.1109/noms47738.2020.9110454","is_oa":false,"landing_page_url":"https://doi.org/10.1109/noms47738.2020.9110454","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium","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/A5084403172","display_name":"Junichi Kawasaki","orcid":null},"institutions":[{"id":"https://openalex.org/I71799228","display_name":"KDDI (Japan)","ror":"https://ror.org/03r7fm174","country_code":"JP","type":"company","lineage":["https://openalex.org/I71799228"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Junichi Kawasaki","raw_affiliation_strings":["KDDI Corporation, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KDDI Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I71799228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038976197","display_name":"Genichi Mouri","orcid":null},"institutions":[{"id":"https://openalex.org/I71799228","display_name":"KDDI (Japan)","ror":"https://ror.org/03r7fm174","country_code":"JP","type":"company","lineage":["https://openalex.org/I71799228"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Genichi Mouri","raw_affiliation_strings":["KDDI Corporation, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KDDI Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I71799228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030137541","display_name":"Yusuke Suzuki","orcid":"https://orcid.org/0000-0001-6940-9777"},"institutions":[{"id":"https://openalex.org/I71799228","display_name":"KDDI (Japan)","ror":"https://ror.org/03r7fm174","country_code":"JP","type":"company","lineage":["https://openalex.org/I71799228"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Suzuki","raw_affiliation_strings":["KDDI Corporation, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KDDI Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I71799228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7828,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.85967683,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.9980000257492065,"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/computer-science","display_name":"Computer science","score":0.8232917785644531},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7205614447593689},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.6132093667984009},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5882027745246887},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.522188127040863},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5208709239959717},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.516982913017273},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5112347602844238},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.503523051738739},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48479264974594116},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.4394731819629669},{"id":"https://openalex.org/keywords/virtual-machine","display_name":"Virtual machine","score":0.42534390091896057},{"id":"https://openalex.org/keywords/virtualization","display_name":"Virtualization","score":0.4156871438026428},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4119238257408142},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3337697386741638},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.14796000719070435},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.12454542517662048}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8232917785644531},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7205614447593689},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.6132093667984009},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5882027745246887},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.522188127040863},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5208709239959717},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.516982913017273},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5112347602844238},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.503523051738739},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48479264974594116},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4394731819629669},{"id":"https://openalex.org/C25344961","wikidata":"https://www.wikidata.org/wiki/Q192726","display_name":"Virtual machine","level":2,"score":0.42534390091896057},{"id":"https://openalex.org/C513985346","wikidata":"https://www.wikidata.org/wiki/Q270471","display_name":"Virtualization","level":3,"score":0.4156871438026428},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4119238257408142},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3337697386741638},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.14796000719070435},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.12454542517662048}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/noms47738.2020.9110454","is_oa":false,"landing_page_url":"https://doi.org/10.1109/noms47738.2020.9110454","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium","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":11,"referenced_works":["https://openalex.org/W1990911977","https://openalex.org/W2019759631","https://openalex.org/W2025697177","https://openalex.org/W2139145615","https://openalex.org/W2559999940","https://openalex.org/W2614018948","https://openalex.org/W2757551206","https://openalex.org/W2809684781","https://openalex.org/W2882319491","https://openalex.org/W6737494435","https://openalex.org/W7052464995"],"related_works":["https://openalex.org/W2070754358","https://openalex.org/W4301397976","https://openalex.org/W3168304977","https://openalex.org/W3195168932","https://openalex.org/W2182227208","https://openalex.org/W48697359","https://openalex.org/W4221021152","https://openalex.org/W2309601263","https://openalex.org/W2139547970","https://openalex.org/W3168994312"],"abstract_inverted_index":{"The":[0,163],"recent":[1],"evolution":[2],"in":[3,82,86,120],"network":[4,8,14,25,57],"technologies":[5,44],"such":[6,31],"as":[7,32],"function":[9,15],"virtualization":[10],"(NFV)":[11],"and":[12,34,59,96,154,159,187],"cloud-native":[13],"(CNF)":[16],"is":[17],"expected":[18],"to":[19,27,49,99,103,113],"enable":[20],"the":[21,37,50,74,115,126,131,166,177],"delivery":[22],"of":[23,39,56,62,118,133,156,161,185,204],"on-demand":[24],"services":[26],"meet":[28],"various":[29],"requirements":[30],"reliability":[33],"latency.":[35],"However,":[36],"operation":[38],"networks":[40],"using":[41,168],"these":[42],"emerging":[43],"can":[45],"be":[46],"complex":[47],"due":[48],"need":[51],"for":[52,94],"a":[53,69,182],"greater":[54],"number":[55,160],"entities":[58],"more":[60],"types":[61],"service":[63],"level":[64],"agreements":[65],"(SLAs).":[66],"This":[67],"incurs":[68],"high":[70],"operational":[71],"workload.":[72],"On":[73],"other":[75],"hand,":[76],"there":[77],"have":[78,90],"been":[79],"major":[80],"advances":[81],"machine":[83,151],"learning":[84],"(ML)":[85],"this":[87,108],"decade.":[88],"These":[89],"made":[91],"it":[92],"possible":[93],"many":[95],"diverse":[97],"industries":[98],"leverage":[100],"ML":[101,112,170],"capabilities":[102],"support":[104,149],"human":[105],"tasks.":[106],"In":[107],"paper,":[109],"we":[110,129],"apply":[111],"analyze":[114,130],"root":[116],"cause":[117],"failures":[119],"an":[121,134],"NFV":[122],"environment.":[123],"To":[124],"identify":[125],"appropriate":[127],"approach,":[128],"performance":[132,179,194],"ML-based":[135],"fault":[136],"classifier":[137],"from":[138],"several":[139],"perspectives,":[140],"three":[141],"algorithms":[142],"[multi-layer":[143],"perceptron":[144],"(MLP),":[145],"random":[146],"forest":[147],"(RF),":[148],"vector":[150],"(SVM)],":[152],"volume":[153],"balance":[155,202],"training":[157,197],"data,":[158,186,198],"features.":[162],"experiment":[164],"on":[165],"testbed":[167],"our":[169],"comparison":[171],"framework":[172],"shows":[173],"that":[174,189],"RF":[175],"provides":[176],"highest":[178],"even":[180],"with":[181],"small":[183],"amount":[184],"also":[188],"SVM":[190],"could":[191],"improve":[192],"its":[193],"by":[195],"increasing":[196],"feature":[199],"reduction,":[200],"or":[201],"adjustment":[203],"normal/abnormal":[205],"samples.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
