@inproceedings{f8c355292b044fe3b63d23d7615cd081,
title = "Visual content correlation analysis",
abstract = "Correlating content from multiple data fields is one of the key challenges in text mining. In this paper, we propose a visual analytics approach that leverages both content correlation analysis and interactive visualization technologies in analyzing and understanding content correlations. We have applied our work to analyzing NHAMCS data (National Hospital Ambulatory Medical Care Survey), which helps reveal healthcare-related data patterns through the correlations between unstructured data fields (e.g., cause of injury and diagnosis) and between structured and unstructured fields (e.g., gender and cause of injury).",
keywords = "content correlation, visual text analytics, visualization",
author = "Furu Wei and Lei Shi and Li Tan and Xiaohua Sun and Xiaoxiao Lian and Shixia Liu and Zhou, \{Michelle X.\}",
year = "2010",
doi = "10.1145/2002353.2002362",
language = "英语",
isbn = "9781605589961",
series = "International Conference on Intelligent User Interfaces, Proceedings IUI",
pages = "25--28",
booktitle = "1st International Workshop on Intelligent Visual Interfaces for Text Analysis, IVITA'10 - Proceedings",
note = "1st International Workshop on Intelligent Visual Interfaces for Text Analysis, IVITA'10 ; Conference date: 07-02-2010 Through 07-02-2010",
}