@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}
}
@article {15745,
	title = {Efficient iterative algorithms for the stochastic finite element method with application to acoustic scattering},
	journal = {Computer Methods in Applied Mechanics and Engineering},
	volume = {194},
	year = {2005},
	month = {2005/03/18/},
	pages = {1037 - 1055},
	abstract = {In this study, we describe the algebraic computations required to implement the stochastic finite element method for solving problems in which uncertainty is restricted to right-hand side data coming from forcing functions or boundary conditions. We show that the solution can be represented in a compact outer product form which leads to efficiencies in both work and storage, and we demonstrate that block iterative methods for algebraic systems with multiple right-hand sides can be used to advantage to compute this solution. We also show how to generate a variety of statistical quantities from the computed solution. Finally, we examine the behavior of these statistical quantities in one setting derived from a model of acoustic scattering.},
	keywords = {01, 28, 60, finite element, multigrid, Multiple right-hand side, Scattering, Stochastic},
	isbn = {0045-7825},
	doi = {10.1016/j.cma.2004.06.028},
	url = {http://www.sciencedirect.com/science/article/pii/S0045782504003123},
	author = {Elman, Howard and Ernst, Oliver G. and O{\textquoteright}Leary,Dianne P. and Stewart, Michael}
}
@article {18459,
	title = {Rendering localized spatial audio in a virtual auditory space},
	journal = {IEEE Transactions on Multimedia},
	volume = {6},
	year = {2004},
	month = {2004/08//},
	pages = {553 - 564},
	abstract = {High-quality virtual audio scene rendering is required for emerging virtual and augmented reality applications, perceptual user interfaces, and sonification of data. We describe algorithms for creation of virtual auditory spaces by rendering cues that arise from anatomical scattering, environmental scattering, and dynamical effects. We use a novel way of personalizing the head related transfer functions (HRTFs) from a database, based on anatomical measurements. Details of algorithms for HRTF interpolation, room impulse response creation, HRTF selection from a database, and audio scene presentation are presented. Our system runs in real time on an office PC without specialized DSP hardware.},
	keywords = {-D audio processing, 3-D audio processing, Audio databases, audio signal processing, audio user interfaces, augmented reality, data sonification, Digital signal processing, head related transfer functions, head-related transfer function, Interpolation, Layout, perceptual user interfaces, Real time systems, Rendering (computer graphics), Scattering, spatial audio, Transfer functions, User interfaces, virtual audio scene rendering, virtual auditory spaces, virtual environments, Virtual reality, virtual reality environments},
	isbn = {1520-9210},
	doi = {10.1109/TMM.2004.827516},
	author = {Zotkin,Dmitry N and Duraiswami, Ramani and Davis, Larry S.}
}
@conference {17101,
	title = {Dynamic queries and brushing on choropleth maps},
	booktitle = {Fifth International Conference on Information Visualisation, 2001. Proceedings},
	year = {2001},
	month = {2001///},
	pages = {757 - 764},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {Users who must combine demographic, economic or other data in a geographic context are often hampered by the integration of tabular and map representations. Static, paper-based solutions limit the amount of data that can be placed on a single map or table. By providing an effective user interface, we believe that researchers, journalists, teachers, and students can explore complex data sets more rapidly and effectively. This paper presents Dynamaps, a generalized map-based information visualization tool for dynamic queries and brushing on choropleth maps. Users can use color coding to show a variable on each geographic region, and then filter out areas that do not meet the desired criteria. In addition, a scatterplot view and a details-on-demand window support overviews and specific fact-finding},
	keywords = {brushing, business, cartography, choropleth maps, color coding, colour graphics, complex data sets, Computational Intelligence Society, Computer science, data visualisation, Data visualization, demographic data, Demography, Dynamaps, dynamic queries, economic data, Educational institutions, geographic information system, geographic information systems, Joining processes, map representations, map-based information visualization, Query processing, Scattering, scatterplot view, tabular representations, user interface, User interfaces, World Wide Web},
	isbn = {0-7695-1195-3},
	doi = {10.1109/IV.2001.942141},
	author = {Dang,G. and North,C. and Shneiderman, Ben}
}
@conference {17498,
	title = {Visualization methods for personal photo collections: browsing and searching in the PhotoFinder},
	booktitle = {2000 IEEE International Conference on Multimedia and Expo, 2000. ICME 2000},
	volume = {3},
	year = {2000},
	month = {2000///},
	pages = {1539-1542 vol.3 - 1539-1542 vol.3},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {Software tools for personal photo collection management are proliferating, but they usually have limited searching and browsing functions. We implemented the PhotoFinder prototype to enable non-technical users of personal photo collections to search and browse easily. PhotoFinder provides a set of visual Boolean query interfaces, coupled with dynamic query and query preview features. It gives users powerful search capabilities. Using a scatter plot thumbnail display and drag-and-drop interface, PhotoFinder is designed to be easy to use for searching and browsing photos},
	keywords = {Browsing, Computer science, digital photo library, Displays, drag-and-drop interface, dynamic query, Educational institutions, Filters, Histograms, Image retrieval, personal computing, personal photo collections, photo collection management, PhotoFinder, Prototypes, query preview, scatter plot thumbnail display, Scattering, searching, software libraries, software tools, User interfaces, visual Boolean query interfaces, visual databases, Visualization, visualization methods},
	isbn = {0-7803-6536-4},
	doi = {10.1109/ICME.2000.871061},
	author = {Kang,Hyunmo and Shneiderman, Ben}
}
