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Our visual analytics tool GeneTracer, developed for the VAST 2010 genetic sequence mini challenge, visualizes gene sequences of current outbreaks and native sequences along with disease characteristics. We successfully used GeneTracer in combination with data mining techniques to solve the challenge.
This article describes the sense-making process we applied to solve the VAST 2010 Mini Challenge 1 using the visual analytics system Jigsaw. We focus on Jigsaw's data ingest and evidence marshalling features and discuss how they are beneficial for a holistic sense-making experience.
We present a case study of our experience designing SellTrend, a visualization system for analyzing airline travel purchase requests. The relevant transaction data can be characterized as multi-variate temporal and categorical event sequences, and the chief problem addressed is how to help company analysts identify complex combinations of transaction attributes that contribute to failed purchase requests...
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