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

Claim 9:
10. A computer system for anomaly detection, comprising:
one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage medium, and program instructions stored on at least one of the one or more tangible storage medium for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising:
converting business process logs into a graphical data structure;
generating 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 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 an anomaly score for each activity of the business process log using a process aware metric-based on a feature representation; and
labeling each of one or more data points with a high anomaly score.