Patent ID: 11928629
Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method for anomaly detection, the method comprising:
converting, by a processor, business process logs into a graphical data structure;
generating, by the processor, an optimized graph encoding for anomaly detection using an unsupervised machine learning method, wherein the optimized graph encoding is a result of continuously altering a graph encoding throughout a training process;
updating, by the processor, one or more hyperparameters of a graph autoencoder (GAE) using at least one or more learning rate optimization algorithms and a set of anomalous data, wherein the GAE simplifies the training process by recreating abstract structural process information;
computing, by the processor, an anomaly score for each activity of the business process log using a process aware metric-based on a feature representation; and
labeling, by the processor, each of one or more data points with a high anomaly score.