Outlier detection for high-dimensional data streams

Abstract

[Abstract]: The explosion of data streams has sparked a lot of research interests in data mining on streaming data flow in recent years. Many data streams are inherently high dimensional and outlier detection from these data streams can potentially lead to discovery of useful abnormal and irregular patterns hidden in the streams. Outlier detection in data streams can be useful in many fields such as analysis and monitoring of network traffic data, web log, sensor networks and financial transactions.