@conference {17423,
	title = {The state of visual analytics: Views on what visual analytics is and where it is going},
	booktitle = {2010 IEEE Symposium on Visual Analytics Science and Technology (VAST)},
	year = {2010},
	month = {2010/10/25/26},
	pages = {257 - 259},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {In the 2005 publication "Illuminating the Path" visual analytics was defined as "the science of analytical reasoning facilitated by interactive visual interfaces." A lot of work has been done in visual analytics over the intervening five years. While visual analytics started in the United States with a focus on security, it is now a worldwide research agenda with a broad range of application domains. This is evidenced by efforts like the European VisMaster program and the upcoming Visual Analytics and Knowledge Discovery (VAKD) workshop, just to name two.There are still questions concerning where and how visual analytics fits in the large body of research and applications represented by the VisWeek community. This panel will present distinct viewpoints on what visual analytics is and its role in understanding complex information in a complex world. The goal of this panel is to engender discussion from the audience on the emergence and continued advancement of visual analytics and its role relative to fields of related research. Four distinguished panelists will provide their perspective on visual analytics focusing on what it is, what it should be, and thoughts about a development path between these two states. The purpose of the presentations is not to give a critical review of the literature but rather to give a review on the field and to provide a contextual perspective based on the panelists{\textquoteright} years of experience and accumulated knowledge.},
	keywords = {analytical reasoning, Data analysis, data mining, data visualisation, European VisMaster program, interactive visual interfaces, knowledge discovery, United States, visual analytics, VisWeek community},
	isbn = {978-1-4244-9488-0},
	doi = {10.1109/VAST.2010.5649078},
	author = {May,R. and Hanrahan,P. and Keim,D. A and Shneiderman, Ben and Card,S.}
}
@conference {16839,
	title = {NewsStand: a new view on news},
	booktitle = {Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems},
	series = {GIS {\textquoteright}08},
	year = {2008},
	month = {2008///},
	pages = {18:1{\textendash}18:10 - 18:1{\textendash}18:10},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {News articles contain a wealth of implicit geographic content that if exposed to readers improves understanding of today{\textquoteright}s news. However, most articles are not explicitly geotagged with their geographic content, and few news aggregation systems expose this content to users. A new system named NewsStand is presented that collects, analyzes, and displays news stories in a map interface, thus leveraging on their implicit geographic content. NewsStand monitors RSS feeds from thousands of online news sources and retrieves articles within minutes of publication. It then extracts geographic content from articles using a custom-built geotagger, and groups articles into story clusters using a fast online clustering algorithm. By panning and zooming in NewsStand{\textquoteright}s map interface, users can retrieve stories based on both topical significance and geographic region, and see substantially different stories depending on position and zoom level.},
	keywords = {clustering, geotagging, knowledge discovery, text mining},
	isbn = {978-1-60558-323-5},
	doi = {10.1145/1463434.1463458},
	url = {http://doi.acm.org/10.1145/1463434.1463458},
	author = {Teitler,Benjamin E. and Lieberman,Michael D. and Panozzo,Daniele and Sankaranarayanan,Jagan and Samet, Hanan and Sperling,Jon}
}
@conference {16854,
	title = {Knowledge discovery using the sand spatial browser},
	booktitle = {Proceedings of the 8th annual international conference on Digital government research: bridging disciplines \& domains},
	series = {dg.o {\textquoteright}07},
	year = {2007},
	month = {2007///},
	pages = {284 - 285},
	publisher = {Digital Government Society of North America},
	organization = {Digital Government Society of North America},
	abstract = {The use of the SAND Internet Browser as a knowledge discovery tool for epidemiological cartography is highlighted by recreating the results of Dr. John Snow{\textquoteright}s study of the 1854 Cholera epidemic in Soho, London.},
	keywords = {distance semi-join, knowledge discovery, sand database system, snow cholera map},
	isbn = {1-59593-599-1},
	url = {http://dl.acm.org/citation.cfm?id=1248460.1248521},
	author = {Samet, Hanan and Phillippy,Adam and Sankaranarayanan,Jagan}
}
@article {17272,
	title = {Knowledge discovery in high-dimensional data: case studies and a user survey for the rank-by-feature framework},
	journal = {IEEE Transactions on Visualization and Computer Graphics},
	volume = {12},
	year = {2006},
	month = {2006/06//May},
	pages = {311 - 322},
	abstract = {Knowledge discovery in high-dimensional data is a challenging enterprise, but new visual analytic tools appear to offer users remarkable powers if they are ready to learn new concepts and interfaces. Our three-year effort to develop versions of the hierarchical clustering explorer (HCE) began with building an interactive tool for exploring clustering results. It expanded, based on user needs, to include other potent analytic and visualization tools for multivariate data, especially the rank-by-feature framework. Our own successes using HCE provided some testimonial evidence of its utility, but we felt it necessary to get beyond our subjective impressions. This paper presents an evaluation of the hierarchical clustering explorer (HCE) using three case studies and an e-mail user survey (n=57) to focus on skill acquisition with the novel concepts and interface for the rank-by-feature framework. Knowledgeable and motivated users in diverse fields provided multiple perspectives that refined our understanding of strengths and weaknesses. A user survey confirmed the benefits of HCE, but gave less guidance about improvements. Both evaluations suggested improved training methods},
	keywords = {case study, Computer aided software engineering, Computer Society, Data analysis, data mining, data visualisation, Data visualization, database management systems, e-mail user survey, Genomics, Helium, Hierarchical Clustering Explorer, hierarchical clustering explorer., high-dimensional data, Histograms, Information visualization evaluation, interactive systems, interactive tool, knowledge discovery, multivariate data, Rank-by-feature framework, Scattering, Testing, user interface, User interfaces, user survey, visual analytic tools, visual analytics, visualization tools},
	isbn = {1077-2626},
	doi = {10.1109/TVCG.2006.50},
	author = {Seo,Jinwook and Shneiderman, Ben}
}
