We examine the problem of monitoring and identification of correlated burst patterns in multi-stream time series databases. Our methodology is comprised of two steps: a burst dete...
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
This Paper introduces PKUSpace - a collaborative platform for scientific learning and researching. Supported by efficient automated metadata extraction and powerful text classifica...
Ming Zhang, Dongqing Yang, Zhi-Hong Deng, Ying Fen...
As the amount of available data continues to increase, more and more effective means for discovering important patterns and relationships within that data are required. Although t...
We present a framework for visualizing remote distributed data sources using a multi-user immersive virtual reality environment. DIVE-ON is a system prototype that consolidates dis...