VS Cube: Analyzing Variations of Multi dimensional Patterns over Data Streams

In many applications, patterns over time-varied data streams usually imply high domain value. The variations of patterns can often be measured from their internal structures. Traditional methods usually take each pattern as a whole to analyze data stream variations; however, few works have achieved