April 08, 2019 conference-paper An anomaly detection technique for business processes based on extended dynamic bayesian networks ACM/SIGAPP Symposium on Applied Computing (SAC) DOI: 10.1145/3297280.3297326 OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 36 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Detecting Surprising Situations in Event Data 2023 Lecture notes in business information processing conference-paper Business, Management and Accounting Business Process Modeling and Analysis Open access 0 citations Detecting Context-Aware Deviations in Process Executions 2022 Lecture notes in business information processing conference-paper Business, Management and Accounting Business Process Modeling and Analysis Open access 10 citations Temporal Exceptional Model Mining Using Dynamic Bayesian Networks 2020 Lecture notes in computer science conference-paper Computer Science Data Mining Algorithms and Applications Open access 7 citations 3 results References 0