{"id":"https://openalex.org/W4224917945","doi":"https://doi.org/10.1109/icassp43922.2022.9746416","title":"Accurate Inference of Unseen Combinations of Multiple Rootcauses with Classifier Ensemble","display_name":"Accurate Inference of Unseen Combinations of Multiple Rootcauses with Classifier Ensemble","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4224917945","doi":"https://doi.org/10.1109/icassp43922.2022.9746416"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9746416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746416","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100342900","display_name":"Xuan Zhang","orcid":"https://orcid.org/0000-0002-3089-9809"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuan Zhang","raw_affiliation_strings":["Beijing Jiaotong Unviersity,Network Intelligent Laboratory, School of Electronics and Information Engineering","Network Intelligent Laboratory, School of Electronics and Information Engineering, Beijing Jiaotong Unviersity"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong Unviersity,Network Intelligent Laboratory, School of Electronics and Information Engineering","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Network Intelligent Laboratory, School of Electronics and Information Engineering, Beijing Jiaotong Unviersity","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013690569","display_name":"Longxiang Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longxiang Xiong","raw_affiliation_strings":["Beijing Jiaotong Unviersity,Network Intelligent Laboratory, School of Electronics and Information Engineering","Network Intelligent Laboratory, School of Electronics and Information Engineering, Beijing Jiaotong Unviersity"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong Unviersity,Network Intelligent Laboratory, School of Electronics and Information Engineering","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Network Intelligent Laboratory, School of Electronics and Information Engineering, Beijing Jiaotong Unviersity","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101465758","display_name":"Ningyuan Sun","orcid":"https://orcid.org/0000-0003-3747-8457"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ningyuan Sun","raw_affiliation_strings":["Beijing Jiaotong Unviersity,Network Intelligent Laboratory, School of Electronics and Information Engineering","Network Intelligent Laboratory, School of Electronics and Information Engineering, Beijing Jiaotong Unviersity"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong Unviersity,Network Intelligent Laboratory, School of Electronics and Information Engineering","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Network Intelligent Laboratory, School of Electronics and Information Engineering, Beijing Jiaotong Unviersity","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102902385","display_name":"Mingxia Wang","orcid":"https://orcid.org/0000-0003-2340-8941"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingxia Wang","raw_affiliation_strings":["Beijing Jiaotong Unviersity,Network Intelligent Laboratory, School of Electronics and Information Engineering","Network Intelligent Laboratory, School of Electronics and Information Engineering, Beijing Jiaotong Unviersity"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong Unviersity,Network Intelligent Laboratory, School of Electronics and Information Engineering","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Network Intelligent Laboratory, School of Electronics and Information Engineering, Beijing Jiaotong Unviersity","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100703190","display_name":"Hao Tang","orcid":"https://orcid.org/0009-0006-6814-3456"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Tang","raw_affiliation_strings":["Beijing Jiaotong Unviersity,Network Intelligent Laboratory, School of Electronics and Information Engineering","Network Intelligent Laboratory, School of Electronics and Information Engineering, Beijing Jiaotong Unviersity"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong Unviersity,Network Intelligent Laboratory, School of Electronics and Information Engineering","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Network Intelligent Laboratory, School of Electronics and Information Engineering, Beijing Jiaotong Unviersity","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102909632","display_name":"Yanxing Zhao","orcid":"https://orcid.org/0000-0001-7491-900X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yanxing Zhao","raw_affiliation_strings":["Beijing Baolande Software Corporation"],"affiliations":[{"raw_affiliation_string":"Beijing Baolande Software Corporation","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100342900"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.5194,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.61166774,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"9306","last_page":"9310"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9988999962806702,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9988999962806702,"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":0.9975000023841858,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9970999956130981,"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":0.7666255235671997},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7285008430480957},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6189626455307007},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5501880049705505},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.514293372631073},{"id":"https://openalex.org/keywords/root-cause","display_name":"Root cause","score":0.5034927725791931},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4961300790309906},{"id":"https://openalex.org/keywords/root","display_name":"Root (linguistics)","score":0.480049729347229},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4597727060317993},{"id":"https://openalex.org/keywords/root-cause-analysis","display_name":"Root cause analysis","score":0.4589993953704834},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45809608697891235},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.4558194875717163},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4330947697162628},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4312005341053009},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09514671564102173}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7666255235671997},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7285008430480957},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6189626455307007},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5501880049705505},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.514293372631073},{"id":"https://openalex.org/C84945661","wikidata":"https://www.wikidata.org/wiki/Q7366567","display_name":"Root cause","level":2,"score":0.5034927725791931},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4961300790309906},{"id":"https://openalex.org/C171078966","wikidata":"https://www.wikidata.org/wiki/Q111029","display_name":"Root (linguistics)","level":2,"score":0.480049729347229},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4597727060317993},{"id":"https://openalex.org/C130963320","wikidata":"https://www.wikidata.org/wiki/Q1401207","display_name":"Root cause analysis","level":2,"score":0.4589993953704834},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45809608697891235},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.4558194875717163},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4330947697162628},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4312005341053009},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09514671564102173},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C77595967","wikidata":"https://www.wikidata.org/wiki/Q3151013","display_name":"Forensic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp43922.2022.9746416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746416","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W273955616","https://openalex.org/W1678356000","https://openalex.org/W1964940342","https://openalex.org/W2132791018","https://openalex.org/W2396961413","https://openalex.org/W2593118993","https://openalex.org/W2810140125","https://openalex.org/W3101150805","https://openalex.org/W3131710189","https://openalex.org/W4287028701","https://openalex.org/W6610017368","https://openalex.org/W6637404493","https://openalex.org/W6799554919"],"related_works":["https://openalex.org/W3158264953","https://openalex.org/W4310989423","https://openalex.org/W2052158905","https://openalex.org/W4321505428","https://openalex.org/W3195728044","https://openalex.org/W4281771184","https://openalex.org/W4309130551","https://openalex.org/W4320916747","https://openalex.org/W2915007695","https://openalex.org/W4224917945"],"abstract_inverted_index":{"Root":[0],"cause":[1],"analysis":[2,75],"(RCA)":[3],"of":[4,26,31,37,100,106],"network":[5,11],"faults":[6],"is":[7,17,144],"crucial":[8],"to":[9,20,64,84,96,112,126],"wireless":[10],"operation":[12],"and":[13,35,79,135],"management.":[14],"It,":[15],"however,":[16],"challenging,":[18],"due":[19],"diverse":[21,24],"feature":[22,61],"types,":[23],"lengths":[25],"time":[27,73,123],"slices,":[28],"simultaneous":[29],"occurrences":[30],"multiple":[32,90,107,114],"root":[33,91,108],"causes,":[34,109],"lack":[36,99],"training":[38,77,101],"samples.":[39],"In":[40],"this":[41],"paper,":[42],"we":[43,71,110,118],"present":[44],"our":[45],"solutions":[46],"for":[47,103],"these":[48],"problems":[49],"in":[50,54,94],"ICASSP-SPGC-2022":[51],"AIOps":[52],"Challenge":[53],"Communication":[55],"Networks.":[56],"We":[57],"first":[58],"design":[59],"specific":[60],"engineering":[62],"method":[63,83],"represent":[65],"the":[66,98,140],"provided":[67],"spatial":[68],"features.":[69],"Secondly,":[70],"conduct":[72],"series":[74,124],"on":[76,139],"data":[78,102],"propose":[80,111],"an":[81],"efficient":[82],"infer":[85],"whether":[86],"a":[87],"sample":[88],"includes":[89],"causes.":[92],"Thirdly,":[93],"order":[95],"solve":[97],"unseen":[104],"combinations":[105],"ensemble":[113],"single-root-cause":[115],"classifiers.":[116],"Fourthly,":[117],"introduce":[119],"TextCNN":[120],"into":[121],"multivariate":[122],"classification":[125],"obtain":[127],"high":[128],"accuracy.":[129],"Our":[130],"approach":[131],"achieved":[132],"score":[133],"0.93":[134],"ranked":[136],"4th":[137],"place":[138],"leader":[141],"board.":[142],"Code":[143],"available":[145],"at":[146],"https://github.com/zxuan000/SPGC_aiops_bjtu":[147]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}