STATISTICS-BASED DATA TRACE CLASSIFICATION

摘要

According to an example, statistics-based data trace classification may include generating sets of training data traces from training data information by assigning a subset of the training data information that has a predetermined property with a first label and assigning another subset of the training data information that does not have the predetermined property with a second label. A trained trace classifier may be generated to detect whether or not a set of input data traces satisfies the predetermined property. The trace classifier may be trained to learn the predetermined property from a statistical data object determined from the sets of the training data traces, and the first and second labels related to the sets of the training data traces.