Paper Info
Title
Real-time visual analytics for event data streams
Abstract
Real-time analysis of data streams has become an important factor for success in many domains such as server and system administration, news analysis and finance to name just a few. Introducing real-time visual analytics into such application areas promises a lot of benefits since the rate of new incoming information often exceeds human perceptual limits when displayed linearly in raw formats such as textual lines and automatic aggregation often hides important details. This paper presents a system to tackle some of the visualization challenges when analyzing such dynamic event data streams. In particular, we introduce the Event Visualizer, which is a loosely coupled modular system for collecting, processing, analyzing and visualizing dynamic real-time event data streams. Due to the variety of different analysis tasks the system provides an extensible framework with several interactive linked visualizations to focus on different aspects of the event data stream. Data streams with logging data from a computer network are used as a case study to demonstrate the advantages of visual exploration.
Year
DOI
Venue
2012
10.1145/2245276.2245432
SAC
Keywords
Field
DocType
different analysis task,modular system,real-time visual analytics,dynamic real-time event data,system administration,event data stream,dynamic event data stream,real-time analysis,data stream,news analysis,real time,event processing,visual analytics,computer network,data streams,visualization
Data science,Data mining,Data stream mining,Data analysis,Visualization,Computer science,Visual analytics,Complex event processing,News analytics,Modular design,Analytics
Conference
Citations 
PageRank 
References 
17
1.18
10
Authors
3
Name
Order
Citations
PageRank
Fabian Fischer119912.94
Florian Mansmann258935.91
Daniel A. Keim377041141.60