Comparative Evaluation of Anomaly Detection Techniques for Sequence Data

Anomaly detection for symbolic sequence data is a highly important area of research and is relevant in many application domains. While several techniques have been proposed within different domains, understanding of their relative strengths and ...

Anomaly detection on discrete sequential data has been investigated for a long time because of its potential in various applications, such as detecting novel attacks or abnormal system behaviors from log messages. Although many approaches can ...

Anomaly detection is an important data analysis task. It is used to identify interesting and emerging patterns, trends and anomalies from data. Anomaly detection is an important tool to detect abnormalities in many different domains including financial ...