Large amount of uncertain data is inherent in many novel and important applications such as sensor data analysis and mobile data management. A probabilistic threshold range aggrega...
Abstract. We present a probabilistic model for robust principal component analysis (PCA) in which the observation noise is modelled by Student-t distributions that are independent ...
Individual Data Processing Units (DPUs) are commonly used for operational control and specific data processing of scientific space instruments. To overcome the limitations of trad...
In this work a method for detecting distance-based outliers in data streams is presented. We deal with the sliding window model, where outlier queries are performed in order to de...
Utility provisioning, Grid resource management, instant copy kiosks, and network transfers provide an exciting new paradigm for data warehouse functions. Grid technologies are fas...