@article {17238,
	title = {Integrating Statistics and Visualization for Exploratory Power: From Long-Term Case Studies to Design Guidelines},
	journal = {IEEE Computer Graphics and Applications},
	volume = {29},
	year = {2009},
	month = {2009/06//May},
	pages = {39 - 51},
	abstract = {Evaluating visual-analytics systems is challenging because laboratory-based controlled experiments might not effectively represent analytical tasks. One such system, Social Action, integrates statistics and visualization in an interactive exploratory tool for social network analysis. This article describes results from long-term case studies with domain experts and extends established design goals for information visualization.},
	keywords = {case studies, Control systems, Data analysis, data mining, data visualisation, Data visualization, data-mining, design guidelines, Employment, exploration, Filters, Guidelines, Information Visualization, insights, laboratory-based controlled experiments, Performance analysis, social network analysis, Social network services, social networking (online), social networks, SocialAction, statistical analysis, Statistics, visual analytics, visual-analytics systems, Visualization},
	isbn = {0272-1716},
	doi = {10.1109/MCG.2009.44},
	author = {Perer,A. and Shneiderman, Ben}
}
@conference {17239,
	title = {Integrating statistics and visualization: case studies of gaining clarity during exploratory data analysis},
	booktitle = {Proceedings of the twenty-sixth annual SIGCHI conference on Human factors in computing systems},
	series = {CHI {\textquoteright}08},
	year = {2008},
	month = {2008///},
	pages = {265 - 274},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {Although both statistical methods and visualizations have been used by network analysts, exploratory data analysis remains a challenge. We propose that a tight integration of these technologies in an interactive exploratory tool could dramatically speed insight development. To test the power of this integrated approach, we created a novel social network analysis tool, SocialAction, and conducted four long-term case studies with domain experts, each working on unique data sets with unique problems. The structured replicated case studies show that the integrated approach in SocialAction led to significant discoveries by a political analyst, a bibliometrician, a healthcare consultant, and a counter-terrorism researcher. Our contributions demonstrate that the tight integration of statistics and visualizations improves exploratory data analysis, and that our evaluation methodology for long-term case studies captures the research strategies of data analysts.},
	keywords = {case studies, Evaluation, exploratory data analysis, Information Visualization, social networks, Statistics},
	isbn = {978-1-60558-011-1},
	doi = {10.1145/1357054.1357101},
	url = {http://doi.acm.org/10.1145/1357054.1357101},
	author = {Perer,Adam and Shneiderman, Ben}
}
@conference {16087,
	title = {Exploring erotics in Emily Dickinson{\textquoteright}s correspondence with text mining and visual interfaces},
	booktitle = {Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries},
	series = {JCDL {\textquoteright}06},
	year = {2006},
	month = {2006///},
	pages = {141 - 150},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {This paper describes a system to support humanities scholars in their interpretation of literary work. It presents a user interface and web architecture that integrates text mining, a graphical user interface and visualization, while attempting to remain easy to use by non specialists. Users can interactively read and rate documents found in a digital libraries collection, prepare training sets, review results of classification algorithms and explore possible indicators and explanations. Initial evaluation steps suggest that there is a rationale for "provocational" text mining in literary interpretation.},
	keywords = {case studies, humanities, literary criticism, text mining, user interface, Visualization},
	isbn = {1-59593-354-9},
	doi = {10.1145/1141753.1141781},
	url = {http://doi.acm.org/10.1145/1141753.1141781},
	author = {Plaisant, Catherine and Rose,James and Yu,Bei and Auvil,Loretta and Kirschenbaum,Matthew G. and Smith,Martha Nell and Clement,Tanya and Lord,Greg}
}
