{"id":"https://openalex.org/W4205628057","doi":"https://doi.org/10.1109/bigdata52589.2021.9671642","title":"InterpretableSAD: Interpretable Anomaly Detection in Sequential Log Data","display_name":"InterpretableSAD: Interpretable Anomaly Detection in Sequential Log Data","publication_year":2021,"publication_date":"2021-12-15","ids":{"openalex":"https://openalex.org/W4205628057","doi":"https://doi.org/10.1109/bigdata52589.2021.9671642"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata52589.2021.9671642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671642","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","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":"2021 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/A5101609203","display_name":"Xiao Han","orcid":"https://orcid.org/0000-0002-1953-8658"},"institutions":[{"id":"https://openalex.org/I121980950","display_name":"Utah State University","ror":"https://ror.org/00h6set76","country_code":"US","type":"education","lineage":["https://openalex.org/I121980950"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiao Han","raw_affiliation_strings":["Utah State University, Logan, UT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Utah State University, Logan, UT, USA","institution_ids":["https://openalex.org/I121980950"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035995369","display_name":"He Cheng","orcid":"https://orcid.org/0009-0009-6901-3778"},"institutions":[{"id":"https://openalex.org/I121980950","display_name":"Utah State University","ror":"https://ror.org/00h6set76","country_code":"US","type":"education","lineage":["https://openalex.org/I121980950"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"He Cheng","raw_affiliation_strings":["Utah State University, Logan, UT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Utah State University, Logan, UT, USA","institution_ids":["https://openalex.org/I121980950"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100730268","display_name":"Depeng Xu","orcid":"https://orcid.org/0000-0002-0371-1815"},"institutions":[{"id":"https://openalex.org/I78715868","display_name":"University of Arkansas at Fayetteville","ror":"https://ror.org/05jbt9m15","country_code":"US","type":"education","lineage":["https://openalex.org/I78715868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Depeng Xu","raw_affiliation_strings":["University of Arkansas, Fayetteville, AR, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Arkansas, Fayetteville, AR, USA","institution_ids":["https://openalex.org/I78715868"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080699291","display_name":"Shuhan Yuan","orcid":"https://orcid.org/0000-0001-6816-419X"},"institutions":[{"id":"https://openalex.org/I121980950","display_name":"Utah State University","ror":"https://ror.org/00h6set76","country_code":"US","type":"education","lineage":["https://openalex.org/I121980950"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuhan Yuan","raw_affiliation_strings":["Utah State University, Logan, UT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Utah State University, Logan, UT, USA","institution_ids":["https://openalex.org/I121980950"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.546,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.80841584,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1183","last_page":"1192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9998999834060669,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9998999834060669,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9983000159263611,"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":0.9923999905586243,"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/anomaly-detection","display_name":"Anomaly detection","score":0.8161184787750244},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6610004901885986},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.6512539386749268},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6204040050506592},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5829378962516785},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5443730354309082},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49142706394195557},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48972323536872864},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.487353652715683},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.44836896657943726},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43505024909973145},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.43042343854904175},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3242734670639038},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.11366954445838928}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8161184787750244},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6610004901885986},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.6512539386749268},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6204040050506592},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5829378962516785},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5443730354309082},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49142706394195557},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48972323536872864},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.487353652715683},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.44836896657943726},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43505024909973145},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.43042343854904175},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3242734670639038},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.11366954445838928},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata52589.2021.9671642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671642","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","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":"2021 IEEE International Conference on Big Data (Big Data)","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":48,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W1990089904","https://openalex.org/W2039157918","https://openalex.org/W2064675550","https://openalex.org/W2094924503","https://openalex.org/W2107263349","https://openalex.org/W2122301654","https://openalex.org/W2127795553","https://openalex.org/W2132870739","https://openalex.org/W2187089797","https://openalex.org/W2208211896","https://openalex.org/W2282821441","https://openalex.org/W2296719434","https://openalex.org/W2560021099","https://openalex.org/W2585367509","https://openalex.org/W2594633041","https://openalex.org/W2741048099","https://openalex.org/W2754665629","https://openalex.org/W2767094836","https://openalex.org/W2788403449","https://openalex.org/W2803697594","https://openalex.org/W2910068345","https://openalex.org/W2947815220","https://openalex.org/W2949500778","https://openalex.org/W2954996726","https://openalex.org/W2962862931","https://openalex.org/W2963545917","https://openalex.org/W2964304846","https://openalex.org/W2965838158","https://openalex.org/W2966799427","https://openalex.org/W2971296908","https://openalex.org/W2986944522","https://openalex.org/W2996061341","https://openalex.org/W3006064320","https://openalex.org/W3040266635","https://openalex.org/W3105484484","https://openalex.org/W3169066865","https://openalex.org/W4287724183","https://openalex.org/W4402843978","https://openalex.org/W6636510571","https://openalex.org/W6678830454","https://openalex.org/W6734194636","https://openalex.org/W6737947904","https://openalex.org/W6751494907","https://openalex.org/W6758101687","https://openalex.org/W6779680364","https://openalex.org/W6782397432","https://openalex.org/W6948268659"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W3210364259","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W4300558037","https://openalex.org/W2667207928","https://openalex.org/W2912112202","https://openalex.org/W4377864969","https://openalex.org/W3030345572"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,41,77,151],"in":[2,64,164],"sequential":[3],"log":[4,55,75,94,143,186],"data":[5,9,99],"is":[6,137],"a":[7,65,90,98,104,117,153,165],"common":[8],"analysis":[10],"task":[11],"as":[12,20,152],"it":[13],"contributes":[14],"to":[15,26,102,139,168,179],"detecting":[16],"critical":[17],"information,":[18],"such":[19],"malfunctions":[21],"of":[22,29,45,92,106,172,191],"systems.":[23],"However,":[24],"due":[25],"the":[27,31,46,53,61,123,128,134,148,173,189],"scarcity":[28],"anomalies,":[30],"traditional":[32],"supervised":[33],"learning":[34,162],"approaches":[35],"cannot":[36,58],"be":[37],"applied":[38],"for":[39],"anomaly":[40,76],"tasks.":[42],"Meanwhile,":[43],"most":[44],"existing":[47],"studies":[48],"only":[49],"focus":[50],"on":[51,122,184],"identifying":[52],"anomalous":[54,62,83,107,130,142,149,176,180],"sequences":[56,108,126],"and":[57,85,127,157],"further":[59],"detect":[60,140,169],"events":[63],"sequence.":[66],"In":[67],"this":[68],"work,":[69],"we":[70,96,114],"present":[71],"InterpretableSAD,":[72],"an":[73,159],"interpretable":[74,160],"framework":[78],"that":[79,113],"can":[80,115],"achieve":[81],"both":[82],"sequence":[84],"fine-grained":[86],"event":[87,150],"detection.":[88],"Given":[89],"set":[91,105],"normal":[93,125],"sequences,":[95,174],"propose":[97],"augmentation":[100],"strategy":[101],"generate":[103],"via":[109],"negative":[110],"sampling":[111],"so":[112],"train":[116],"binary":[118],"classification":[119,135],"model":[120,136,154],"based":[121],"observed":[124],"generated":[129],"sequences.":[131,144],"After":[132],"training,":[133],"able":[138],"real":[141],"We":[145],"then":[146],"consider":[147],"interpretation":[155],"problem":[156],"apply":[158],"machine":[161],"technique":[163],"novel":[166],"way":[167],"which":[170],"parts":[171],"a.k.a,":[175],"events,":[177],"lead":[178],"issues.":[181],"Experimental":[182],"results":[183],"three":[185],"datasets":[187],"show":[188],"effectiveness":[190],"our":[192],"proposed":[193],"framework.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}