@inproceedings{f2cbe4e9db5c4931a1a2298986720089,
title = "FutureLens: Software for text visualization and tracking",
abstract = "Visualization can be a very powerful tool for text/data mining. It can facilitate knowledge discovery as well as a big picture overview of overwhelmingly large amounts of data. Built as a successor to the FeatureLens utility developed at the University of Maryland Human-Computer Interaction Laboratory (HCIL), FutureLens is a Java-based (portable) software environment that can organize a large set of SGML-tagged documents for both spatial and temporal tracking of words, phrases, and entities. We demonstrate its use as a back-end scenario/plot discovery tool using outputs (tensor groups) generated from non-negative tensor factorization models applied to the IEEE VAST (Visual Analytics Science and Technology) 2007 Contest dataset.",
author = "Shutt, \{Gregory L.\} and Puretskiy, \{Andrey A.\} and Berry, \{Michael W.\}",
year = "2009",
language = "English",
isbn = "9781615671090",
series = "Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics",
pages = "1320--1326",
booktitle = "Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics 133",
note = "9th SIAM International Conference on Data Mining 2009, SDM 2009 ; Conference date: 30-04-2009 Through 02-05-2009",
}