Paper Info
Title
Using visual analytics to support decision making to solve the Kronos incident (VAST challenge 2014)
Abstract
Gaining insights from different heterogeneous data sources is one of the biggest challenges in decision making support. The large volumes of data can only be combined by sophisticated automatic methods. However, unexpected patterns can only be identified with the help of human intuition. In this paper, we present our visual analytics work-flows and tools to process heterogeneous data such as social networks, text streams, and geo-temporal data. We apply these tools on the VAST Challenge data and present our findings and assumptions that we identified in our analysis.
Year
DOI
Venue
2014
10.1109/VAST.2014.7042537
IEEE VAST
Field
DocType
ISSN
Data science,Data mining,Social network,Computer science,Intuition,Visual analytics,Cultural analytics,Business intelligence,Analytics,Decision engineering
Conference
2325-9442
Citations 
PageRank 
References 
0
0.34
1
Authors
5
Name
Order
Citations
PageRank
Fabian Fischer119912.94
Florian Stoffel21069.38
Sebastian Mittelstädt3585.36
Tobias Schreck41854123.28
Daniel A. Keim577041141.60