@inproceedings{bdab386b1d8b46d9bc5444d6d21bf428,
title = "VAST to knowledge: Combining tools for exploration and mining",
abstract = "The investigation of the VAST Contest collection provided a valuable test for text mining techniques. Our group has focused on creating analytical tools to unveil relevant patterns and to aid with the content navigation in such text collections. Our results show how such an approach, in combination with visualization techniques, can ease the discovery process especially when multiple tools founded on the same approach to data mining are used in complement to and in concert with one another.",
keywords = "Digital libraries, Information visualization, Knowledge discovery, Text mining, Visual analytics",
author = "Loretta Auvil and Xavier Llor{\`a} and Duane Searsmith and Kelly Searsmith",
year = "2007",
doi = "10.1109/VAST.2007.4389015",
language = "English (US)",
isbn = "9781424416592",
series = "VAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings",
pages = "197--198",
booktitle = "VAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings",
note = "VAST IEEE Symposium on Visual Analytics Science and Technology 2007 ; Conference date: 30-10-2007 Through 01-11-2007",
}