DocumentCode :
119536
Title :
I-VEST: Intelligent visual email search and triage
Author :
Koven, Jay ; Bertini, Enrico ; Memon, Nasir ; Dubois, R. Luke
fYear :
2014
fDate :
25-31 Oct. 2014
Firstpage :
257
Lastpage :
258
Abstract :
Lawyers and investigators are often presented with large email datasets that contain emails that are not all relevant to any given investigative search. They must often manually comb through information contained within these large datasets in order to find the information they need, expending large amounts of time and money in the process. Our work offers an interactive visual analytic alternative to current methodology. We introduce a method for reducing the number of emails that need to be viewed in a large dataset while also giving the user a quick overview of possible contents and relationships in a set of results.
Keywords :
data analysis; data visualisation; electronic mail; information retrieval; law administration; I-VEST; email datasets; intelligent visual email search and triage; interactive visual analytic alternative; investigative search; investigators; lawyers; Artificial intelligence; Electronic mail; Keyword search; Pipelines; Receivers; Visual analytics; Data Analytics; Email Search; Investigative Analysis; Unstructured Data; Visual Analytics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on
Conference_Location :
Paris
Type :
conf
DOI :
10.1109/VAST.2014.7042518
Filename :
7042518
Link To Document :
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