{"id":"https://openalex.org/W4408353752","doi":"https://doi.org/10.1109/icassp49660.2025.10888297","title":"Multivariate Time Series Data Mining for Failure Prediction &amp; Root Cause Analysis","display_name":"Multivariate Time Series Data Mining for Failure Prediction &amp; Root Cause Analysis","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408353752","doi":"https://doi.org/10.1109/icassp49660.2025.10888297"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888297","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888297","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 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/A5007875487","display_name":"Naman Agarwal","orcid":"https://orcid.org/0000-0003-0320-0238"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Naman Agarwal","raw_affiliation_strings":["Radcom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Radcom","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101803496","display_name":"Gagan Raj Gupta","orcid":"https://orcid.org/0000-0002-8568-2949"},"institutions":[{"id":"https://openalex.org/I4210121466","display_name":"Indian Institute of Technology Bhilai","ror":"https://ror.org/02sscsx71","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210121466"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Gagan Raj Gupta","raw_affiliation_strings":["IIT,Department of CSE,Bhilai"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT,Department of CSE,Bhilai","institution_ids":["https://openalex.org/I4210121466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068495273","display_name":"Vishwesh Jatala","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121466","display_name":"Indian Institute of Technology Bhilai","ror":"https://ror.org/02sscsx71","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210121466"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vishwesh Jatala","raw_affiliation_strings":["IIT,Department of CSE,Bhilai"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT,Department of CSE,Bhilai","institution_ids":["https://openalex.org/I4210121466"]}]},{"author_position":"last","author":{"id":null,"display_name":"Aniket Saha","orcid":null},"institutions":[{"id":"https://openalex.org/I19149307","display_name":"Chennai Mathematical Institute","ror":"https://ror.org/04zp24820","country_code":"IN","type":"education","lineage":["https://openalex.org/I19149307"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aniket Saha","raw_affiliation_strings":["Chennai Mathematical Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chennai Mathematical Institute","institution_ids":["https://openalex.org/I19149307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7588,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.85579343,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9027000069618225,"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":0.9027000069618225,"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/root-cause-analysis","display_name":"Root cause analysis","score":0.8070327043533325},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.6807727217674255},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6449318528175354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6374710202217102},{"id":"https://openalex.org/keywords/root-cause","display_name":"Root cause","score":0.6271529793739319},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6050294637680054},{"id":"https://openalex.org/keywords/multivariate-analysis","display_name":"Multivariate analysis","score":0.5138168931007385},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5064009428024292},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3705712556838989},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.2914377450942993},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19404783844947815},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1633000671863556},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15214747190475464},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08712321519851685}],"concepts":[{"id":"https://openalex.org/C130963320","wikidata":"https://www.wikidata.org/wiki/Q1401207","display_name":"Root cause analysis","level":2,"score":0.8070327043533325},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6807727217674255},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6449318528175354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6374710202217102},{"id":"https://openalex.org/C84945661","wikidata":"https://www.wikidata.org/wiki/Q7366567","display_name":"Root cause","level":2,"score":0.6271529793739319},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6050294637680054},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.5138168931007385},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5064009428024292},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3705712556838989},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.2914377450942993},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19404783844947815},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1633000671863556},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15214747190475464},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08712321519851685},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888297","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888297","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":16,"referenced_works":["https://openalex.org/W2407991977","https://openalex.org/W2474046725","https://openalex.org/W2800015774","https://openalex.org/W2906498146","https://openalex.org/W2997534608","https://openalex.org/W3012082538","https://openalex.org/W3040099731","https://openalex.org/W3081497074","https://openalex.org/W4288057688","https://openalex.org/W4296086316","https://openalex.org/W4380884751","https://openalex.org/W4388937474","https://openalex.org/W6739563127","https://openalex.org/W6792471354","https://openalex.org/W6801240865","https://openalex.org/W6849001554"],"related_works":["https://openalex.org/W2030594396","https://openalex.org/W2754538212","https://openalex.org/W2490884653","https://openalex.org/W4200610016","https://openalex.org/W2183996497","https://openalex.org/W129587375","https://openalex.org/W2110363179","https://openalex.org/W2056250485","https://openalex.org/W2535098331","https://openalex.org/W4255366506"],"abstract_inverted_index":{"This":[0,62],"paper":[1],"presents":[2],"an":[3],"analysis":[4],"of":[5,28,71,76,132],"a":[6,43,55,97],"large-scale,":[7],"high-dimensional":[8],"industrial":[9,158],"dataset":[10,22],"containing":[11],"over":[12,18],"2":[13],"million":[14],"data":[15],"points":[16],"collected":[17],"several":[19,50],"months.":[20],"The":[21],"includes":[23],"more":[24],"than":[25],"200":[26],"failures":[27,49],"various":[29],"types,":[30],"each":[31],"resulting":[32],"from":[33],"complex":[34],"causes.":[35],"Utilizing":[36],"state-of-the-art":[37],"unsupervised":[38],"multivariate":[39,133],"anomaly":[40,78,149],"detection":[41,79,150],"algorithms,":[42],"system":[44,63],"was":[45,101],"developed":[46],"that":[47,123,146],"predicts":[48],"minutes":[51],"in":[52,112,162],"advance,":[53],"introducing":[54],"new":[56],"evaluation":[57],"metric":[58],"termed":[59],"lead":[60,154],"time.":[61],"also":[64],"identifies":[65],"the":[66,113,119,124,128,147,157],"location":[67],"and":[68,110,130],"potential":[69],"causes":[70],"these":[72],"failures.":[73],"Initial":[74],"application":[75],"current":[77],"algorithms":[80,134],"yielded":[81],"low":[82,88,91],"F1":[83],"scores,":[84],"due":[85],"to":[86,103,118],"either":[87],"recall":[89],"or":[90],"precision.":[92],"To":[93],"address":[94],"this":[95,163],"issue,":[96],"visual":[98],"reasoning":[99],"framework":[100],"created":[102],"reduce":[104],"false":[105],"positives":[106],"by":[107,135],"analyzing":[108],"motifs":[109],"discords":[111],"top-N":[114],"anomalous":[115],"signals":[116],"contributing":[117],"anomaly.":[120],"We":[121],"find":[122],"human-in-the-loop":[125],"approach":[126],"enhances":[127],"precision":[129],"F1-score":[131],"leveraging":[136],"human":[137],"judgment":[138],"for":[139,156],"final":[140],"decision-making.":[141],"Another":[142],"key":[143],"finding":[144],"is":[145],"LSTM-based":[148],"algorithm":[151],"achieves":[152],"sufficient":[153],"time":[155],"failure":[159],"prediction":[160],"studied":[161],"paper.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
