{"id":"https://openalex.org/W2911410036","doi":"https://doi.org/10.1109/bigdata.2018.8622596","title":"ChieF: A Change Pattern based Interpretable Failure Analyzer","display_name":"ChieF: A Change Pattern based Interpretable Failure Analyzer","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2911410036","doi":"https://doi.org/10.1109/bigdata.2018.8622596","mag":"2911410036"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2018.8622596","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622596","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","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/A5033934770","display_name":"Dhaval Patel","orcid":"https://orcid.org/0000-0002-5449-6975"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dhaval Patel","raw_affiliation_strings":["IBM Thomas J. Watson Research Center, Yorktown Heights, NY","IBM Thomas J. Watson Research Center, Yorktown Heights, 10598, NY"],"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Yorktown Heights, NY","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Yorktown Heights, 10598, NY","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049043092","display_name":"Lam M. Nguyen","orcid":"https://orcid.org/0000-0001-6083-606X"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lam M. Nguyen","raw_affiliation_strings":["IBM Thomas J. Watson Research Center, Yorktown Heights, NY","IBM Thomas J. Watson Research Center, Yorktown Heights, 10598, NY"],"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Yorktown Heights, NY","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Yorktown Heights, 10598, NY","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079543741","display_name":"Akshay Rangamani","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Akshay Rangamani","raw_affiliation_strings":["IBM Thomas J. Watson Research Center, Yorktown Heights, NY","IBM Thomas J. Watson Research Center, Yorktown Heights, 10598, NY"],"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Yorktown Heights, NY","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Yorktown Heights, 10598, NY","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044958272","display_name":"Shrey Shrivastava","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shrey Shrivastava","raw_affiliation_strings":["IBM Thomas J. Watson Research Center, Yorktown Heights, NY","IBM Thomas J. Watson Research Center, Yorktown Heights, 10598, NY"],"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Yorktown Heights, NY","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Yorktown Heights, 10598, NY","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057936833","display_name":"Jayant Kalagnanam","orcid":"https://orcid.org/0009-0009-5051-2606"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jayant Kalagnanam","raw_affiliation_strings":["IBM Thomas J. Watson Research Center, Yorktown Heights, NY","IBM Thomas J. Watson Research Center, Yorktown Heights, 10598, NY"],"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Yorktown Heights, NY","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Yorktown Heights, 10598, NY","institution_ids":["https://openalex.org/I4210114115"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5033934770"],"corresponding_institution_ids":["https://openalex.org/I4210114115"],"apc_list":null,"apc_paid":null,"fwci":0.4887,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.74346946,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9868000149726868,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7209234833717346},{"id":"https://openalex.org/keywords/predictive-maintenance","display_name":"Predictive maintenance","score":0.539018988609314},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.5005416870117188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4751527011394501},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4698471128940582},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4525614380836487},{"id":"https://openalex.org/keywords/asset","display_name":"Asset (computer security)","score":0.4407908320426941},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4040079116821289},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.16686436533927917},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14803576469421387}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7209234833717346},{"id":"https://openalex.org/C70452415","wikidata":"https://www.wikidata.org/wiki/Q3182448","display_name":"Predictive maintenance","level":2,"score":0.539018988609314},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.5005416870117188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4751527011394501},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4698471128940582},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4525614380836487},{"id":"https://openalex.org/C76178495","wikidata":"https://www.wikidata.org/wiki/Q4808784","display_name":"Asset (computer security)","level":2,"score":0.4407908320426941},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4040079116821289},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.16686436533927917},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14803576469421387},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2018.8622596","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622596","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2004202658","https://openalex.org/W2015887370","https://openalex.org/W2110221383","https://openalex.org/W2122646361","https://openalex.org/W2132555912","https://openalex.org/W2461606751","https://openalex.org/W2510860466","https://openalex.org/W2781590243","https://openalex.org/W4250217351"],"related_works":["https://openalex.org/W2951640941","https://openalex.org/W1492794944","https://openalex.org/W2795136348","https://openalex.org/W962477430","https://openalex.org/W2277319453","https://openalex.org/W2391563149","https://openalex.org/W169603398","https://openalex.org/W4313459207","https://openalex.org/W23403803","https://openalex.org/W3161333189"],"abstract_inverted_index":{"Discovering":[0],"the":[1,49,99],"underlying":[2,50],"dynamics":[3,112],"leading":[4,100],"up":[5],"to":[6,15,47,66,74],"an":[7,12,58],"industrial":[8],"asset":[9],"failure":[10,51,72,101],"is":[11],"important":[13],"problem":[14],"be":[16,126],"solved":[17],"for":[18,35,128],"successful":[19],"development":[20],"of":[21,113,117],"Predictive":[22,37],"Maintenance":[23,38],"techniques.":[24],"Existing":[25],"work":[26],"has":[27,42],"largely":[28,43],"focused":[29],"on":[30,93,119],"building":[31],"complex":[32],"ML/AI":[33],"models":[34],"developing":[36,45],"solution":[39,84],"patterns,":[40],"but":[41,60],"avoided":[44],"methods":[46],"explain":[48],"dynamics.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56,87],"use":[57],"old":[59],"significantly":[61],"improved":[62],"change-pattern":[63],"based":[64],"technique":[65],"analyze":[67],"IoT":[68],"sensor":[69],"data":[70],"and":[71,77,109],"information":[73],"generate":[75,103],"useful":[76],"interpretable":[78],"failure-centric":[79],"insight.":[80],"We":[81],"discuss":[82],"a":[83],"pattern":[85],"that":[86,124],"call":[88],"ChieF,":[89],"which":[90],"when":[91],"applied":[92],"multi-variate":[94],"time":[95],"series":[96],"datasets,":[97],"discover":[98],"indicators,":[102],"associative":[104],"patterns":[105],"among":[106],"multiple":[107],"features,":[108],"output":[110],"temporal":[111],"changes.":[114],"Experimental":[115],"analysis":[116],"ChieF":[118],"four":[120],"datasets":[121],"uncovers":[122],"insights":[123],"may":[125],"valuable":[127],"predictive":[129],"maintenance.":[130]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}