{"id":"https://openalex.org/W4399168605","doi":"https://doi.org/10.1109/access.2024.3406633","title":"Business Process Anomaly Detection and Root Cause Analysis Using BLSTM-VAE With Attention","display_name":"Business Process Anomaly Detection and Root Cause Analysis Using BLSTM-VAE With Attention","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399168605","doi":"https://doi.org/10.1109/access.2024.3406633"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3406633","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3406633","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10542095.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10542095.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103033956","display_name":"Eman Abd El-Aziz","orcid":"https://orcid.org/0009-0008-2977-9245"},"institutions":[{"id":"https://openalex.org/I59272784","display_name":"Arab Academy for Science, Technology, and Maritime Transport","ror":"https://ror.org/0004vyj87","country_code":"EG","type":"education","lineage":["https://openalex.org/I59272784"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Eman Abd El-Aziz","raw_affiliation_strings":["College of Computing and IT, Arab Academy for Science, Technology and Maritime Transport, Alexandria, Egypt"],"raw_orcid":"https://orcid.org/0009-0008-2977-9245","affiliations":[{"raw_affiliation_string":"College of Computing and IT, Arab Academy for Science, Technology and Maritime Transport, Alexandria, Egypt","institution_ids":["https://openalex.org/I59272784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058244196","display_name":"Radwa Fathalla","orcid":null},"institutions":[{"id":"https://openalex.org/I59272784","display_name":"Arab Academy for Science, Technology, and Maritime Transport","ror":"https://ror.org/0004vyj87","country_code":"EG","type":"education","lineage":["https://openalex.org/I59272784"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Radwa Fathalla","raw_affiliation_strings":["College of Computing and IT, Arab Academy for Science, Technology and Maritime Transport, Alexandria, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computing and IT, Arab Academy for Science, Technology and Maritime Transport, Alexandria, Egypt","institution_ids":["https://openalex.org/I59272784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091466829","display_name":"Yasser Ismail","orcid":"https://orcid.org/0000-0001-6648-6275"},"institutions":[{"id":"https://openalex.org/I145610796","display_name":"Southern University and Agricultural and Mechanical College","ror":"https://ror.org/04r3m2882","country_code":"US","type":"education","lineage":["https://openalex.org/I145610796"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yasser Ismail","raw_affiliation_strings":["Electrical Engineering Department, Southern University and A&#x0026;M College, Baton Rouge, LA, USA"],"raw_orcid":"https://orcid.org/0000-0001-6648-6275","affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Southern University and A&#x0026;M College, Baton Rouge, LA, USA","institution_ids":["https://openalex.org/I145610796"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112445002","display_name":"Mohamed Shaheen","orcid":null},"institutions":[{"id":"https://openalex.org/I59272784","display_name":"Arab Academy for Science, Technology, and Maritime Transport","ror":"https://ror.org/0004vyj87","country_code":"EG","type":"education","lineage":["https://openalex.org/I59272784"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mohamed Shaheen","raw_affiliation_strings":["College of Computing and IT, Arab Academy for Science, Technology and Maritime Transport, Alexandria, Egypt"],"raw_orcid":"https://orcid.org/0000-0002-8932-6853","affiliations":[{"raw_affiliation_string":"College of Computing and IT, Arab Academy for Science, Technology and Maritime Transport, Alexandria, Egypt","institution_ids":["https://openalex.org/I59272784"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.2352,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.83506652,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"12","issue":null,"first_page":"101390","last_page":"101406"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.991100013256073,"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/T10260","display_name":"Software Engineering Research","score":0.9758999943733215,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/autoencoder","display_name":"Autoencoder","score":0.9405125379562378},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.8157833814620972},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7390433549880981},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6123660206794739},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5138728618621826},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5125021934509277},{"id":"https://openalex.org/keywords/root-cause","display_name":"Root cause","score":0.4829684793949127},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4524773359298706},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.45006030797958374},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44947192072868347},{"id":"https://openalex.org/keywords/root-cause-analysis","display_name":"Root cause analysis","score":0.4334970712661743},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.43071410059928894},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.43016278743743896},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4219728112220764},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.41020843386650085},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.358287513256073},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.09064096212387085},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07799023389816284}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.9405125379562378},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8157833814620972},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7390433549880981},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6123660206794739},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5138728618621826},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5125021934509277},{"id":"https://openalex.org/C84945661","wikidata":"https://www.wikidata.org/wiki/Q7366567","display_name":"Root cause","level":2,"score":0.4829684793949127},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4524773359298706},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.45006030797958374},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44947192072868347},{"id":"https://openalex.org/C130963320","wikidata":"https://www.wikidata.org/wiki/Q1401207","display_name":"Root cause analysis","level":2,"score":0.4334970712661743},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.43071410059928894},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.43016278743743896},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4219728112220764},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.41020843386650085},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.358287513256073},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.09064096212387085},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07799023389816284},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3406633","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3406633","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10542095.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:61a9284901504fe198e705d8591868fc","is_oa":true,"landing_page_url":"https://doaj.org/article/61a9284901504fe198e705d8591868fc","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 101390-101406 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3406633","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3406633","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10542095.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4399168605.pdf"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W107204879","https://openalex.org/W182831726","https://openalex.org/W188425461","https://openalex.org/W281005445","https://openalex.org/W823464615","https://openalex.org/W1429577267","https://openalex.org/W1690397624","https://openalex.org/W2039858039","https://openalex.org/W2055158810","https://openalex.org/W2064675550","https://openalex.org/W2095705004","https://openalex.org/W2113071192","https://openalex.org/W2121717903","https://openalex.org/W2126923860","https://openalex.org/W2131774270","https://openalex.org/W2133564696","https://openalex.org/W2145860989","https://openalex.org/W2158722884","https://openalex.org/W2164097521","https://openalex.org/W2267186426","https://openalex.org/W2464785945","https://openalex.org/W2467604901","https://openalex.org/W2532450374","https://openalex.org/W2533899854","https://openalex.org/W2538859255","https://openalex.org/W2539322469","https://openalex.org/W2592022686","https://openalex.org/W2597655663","https://openalex.org/W2743138268","https://openalex.org/W2749726697","https://openalex.org/W2756166446","https://openalex.org/W2792904071","https://openalex.org/W2803416334","https://openalex.org/W2833324965","https://openalex.org/W2887731362","https://openalex.org/W2889285628","https://openalex.org/W2940451250","https://openalex.org/W2974866841","https://openalex.org/W2982284349","https://openalex.org/W2999971873","https://openalex.org/W3106312933","https://openalex.org/W3126098308","https://openalex.org/W3153872861","https://openalex.org/W3210370346","https://openalex.org/W4243932450","https://openalex.org/W4251654175","https://openalex.org/W4297894630","https://openalex.org/W4311415873","https://openalex.org/W4360980888","https://openalex.org/W4385245566","https://openalex.org/W6623425738","https://openalex.org/W6674330103","https://openalex.org/W6679434410","https://openalex.org/W6719736774","https://openalex.org/W6720208624","https://openalex.org/W6735377749","https://openalex.org/W6744798462","https://openalex.org/W6758130055","https://openalex.org/W6762404473","https://openalex.org/W7016021835"],"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/W1975475221"],"abstract_inverted_index":{"Detecting":[0],"anomalous":[1],"executions":[2],"in":[3,44,106,134,211],"business":[4,24,101,146],"process":[5,25,102,147],"data":[6,103,148],"is":[7,104],"crucial":[8],"for":[9,23],"safeguarding":[10],"the":[11,30,52,65,77,86,90,96,107,116,120,127,135,145,152,156,164,169,173,179,187,202],"efficiency":[12],"and":[13,84,126,149,194,216],"success":[14],"of":[15,29,32,56,80,89,95,155,181,186,213],"an":[16],"organization.":[17],"Unsupervised":[18],"approaches":[19,38],"are":[20],"commonly":[21],"used":[22],"anomaly":[26,34,182,208],"detection":[27,209],"because":[28,46],"scarcity":[31],"labeled":[33],"data.":[35],"However,":[36],"these":[37,131],"often":[39],"encounter":[40],"a":[41,71],"notable":[42],"decline":[43],"performance":[45,78,185],"they":[47],"lack":[48],"prior":[49],"knowledge":[50],"about":[51],"anomalies.":[53,67,92],"Additionally,":[54],"most":[55],"them":[57],"do":[58],"not":[59],"perform":[60],"root":[61,87],"cause":[62],"analysis":[63],"on":[64,192],"detected":[66,91],"This":[68],"study":[69,161],"proposes":[70],"variational":[72,97,136,157,170],"autoencoder-based":[73],"approach":[74,109],"to":[75,140,177],"overcome":[76],"limitations":[79],"existing":[81,207],"unsupervised":[82],"methods":[83],"determine":[85],"causes":[88],"The":[93,184,197],"learning":[94,141],"autoencoder":[98,137,171],"from":[99,144],"unlabeled":[100],"enhanced":[105],"proposed":[108,188,203],"by":[110,168],"leveraging":[111],"different":[112],"architectural":[113,132],"components,":[114],"namely,":[115],"entity":[117],"embedding":[118],"technique,":[119],"bidirectional":[121],"long":[122],"short-term":[123],"memory":[124],"network,":[125],"self-attention":[128],"mechanism.":[129],"Combining":[130],"components":[133],"architecture":[138],"leads":[139],"high-level":[142],"representations":[143],"thus":[150],"improving":[151],"reconstruction":[153,165],"capability":[154],"autoencoder.":[158],"Furthermore,":[159],"this":[160],"suggests":[162],"feeding":[163],"error":[166],"provided":[167],"into":[172],"logistic":[174],"regression":[175],"classifier":[176],"improve":[178],"accuracy":[180],"detection.":[183],"model":[189,204],"was":[190],"evaluated":[191],"real-life":[193],"synthetic":[195],"datasets.":[196],"experimental":[198],"findings":[199],"indicate":[200],"that":[201],"outperforms":[205],"six":[206],"models":[210],"terms":[212],"precision,":[214],"recall,":[215],"F1-score":[217],"metrics.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
