Interactive visual exploration of neighbor-based patterns in data streams

We will demonstrate our system, called V iStream, supporting interactive visual exploration of neighbor-based patterns [7] in data streams. V istream does not only apply innovative multi-query strategies to compute a broad range of popular patterns, such as clusters and outliers, in a highly efficient manner, but it also provides a rich set of visual interfaces and interactions to enable real-time pattern exploration. In our demonstration, we will illustrate that with ViStream, analysts can easily interact with the pattern mining processes by navigating along the time horizons, abstraction levels and parameter spaces, and thus better understand the phenomena of interest. Categories and Subject Descriptors H.0 [Information interfaces and presentation ]: General General Terms Algorithm, Management, Human Factor. Keywords Streaming Data, Pattern mining, Visual Interaction.

• Type: Conference
• Year: 2010
• Where: SIGMOD
• Authors: Di Yang, Zhenyu Guo, Zaixian Xie, Elke A. Rundensteiner, Matthew O. Ward
• Keywords: Database, Interactive Visual Exploration, Pattern Mining, Real-time Pattern Exploration, SIGMOD 2010