Paper Info
Title
Interactive visual exploration of neighbor-based patterns in data streams
Abstract
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. With ViStream, analysts can easily interact with pattern mining processes by navigating along the time horizons, abstraction levels and parameter spaces, and thus better understand the phenomena of interest.
Year
DOI
Venue
2010
10.1145/1807167.1807305
SIGMOD Conference
Keywords
Field
DocType
visual interface,popular pattern,neighbor-based pattern,interactive visual exploration,real-time pattern exploration,broad range,pattern mining process,v istream,data stream,abstraction level,interactive visualization,real time,parameter space,data visualization
Data mining,Data stream mining,Abstraction,Visual interaction,Computer science,Visual analytics,Outlier,Interactive visual analysis,Streaming data,Database
Conference
Citations 
PageRank 
References 
6
0.46
8
Authors
5
Name
Order
Citations
PageRank
Di Yang11529.72
Zhenyu Guo251239.61
Zaixian Xie3444.05
Elke A. Rundensteiner44076700.65
Matthew O. Ward51757189.48