@inproceedings{12dc676fd81d41a188d801cce19f29ad,
title = "I-VEST: Intelligent visual email search and triage",
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 Analytics, Email Search, Investigative Analysis, Unstructured Data, Visual Analytics",
author = "Jay Koven and Enrico Bertini and Nasir Memon and Dubois, {R. Luke}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014 ; Conference date: 09-10-2014 Through 14-10-2014",
year = "2015",
month = feb,
day = "13",
doi = "10.1109/VAST.2014.7042518",
language = "English (US)",
series = "2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "257--258",
editor = "Min Chen and David Ebert and Chris North",
booktitle = "2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014 - Proceedings",
}