@inbook{c3b60e5eabdf4413ac26c7671949d2df,
title = "Visual analysis of interactive document clustering streams",
abstract = "Interactive clustering techniques play a key role by putting the user in the clustering loop, allowing her to interact with document group abstractions instead of full-length documents. It allows users to focus on corpus exploration as an incremental task. To explore Information Discovery's incremental aspect, this article proposes a visual component to depict clustering membership changes throughout a clustering iteration loop in both static and dynamic data sets. The visual component is evaluated with an expert user and with an experiment with data streams.",
keywords = "Document clustering, Document streams, Text visualization, Visual analytics",
author = "Cabral, \{Eric M.\} and Milios, \{Evangelos E.\} and Rosane Minghim",
note = "Publisher Copyright: {\textcopyright} 2020 Owner/Author.; 2020 International Conference on Advanced Visual Interfaces, AVI 2020 ; Conference date: 28-09-2020 Through 02-10-2020",
year = "2020",
month = sep,
day = "28",
doi = "10.1145/3399715.3399962",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery ",
editor = "Genny Tortora and Giuliana Vitiello and Marco Winckler",
booktitle = "Proceedings of the Working Conference on Advanced Visual Interfaces, AVI 2020",
address = "United States",
}