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IEEEVAST
2010
9 years 5 months ago
A visual analytics approach to model learning
The process of learning models from raw data typically requires a substantial amount of user input during the model initialization phase. We present an assistive visualization sys...
Supriya Garg, I. V. Ramakrishnan, Klaus Mueller
IEEEVAST
2010
9 years 5 months ago
Visually representing geo-temporal differences
Data sets that contain geospatial and temporal elements can be challenging to analyze. In particular, it can be difficult to determine how the data have changed over spatial and t...
Orland Hoeber, Garnett Carl Wilson, Simon Harding,...
IEEEVAST
2010
9 years 5 months ago
DimStiller: Workflows for dimensional analysis and reduction
DimStiller is a system for dimensionality reduction and analysis. It frames the task of understanding and transforming input dimensions as a series of analysis steps where users t...
Stephen Ingram, Tamara Munzner, Veronika Irvine, M...
IEEEVAST
2010
9 years 5 months ago
Finding and visualizing relevant subspaces for clustering high-dimensional astronomical data using connected morphological opera
Data sets in astronomy are growing to enormous sizes. Modern astronomical surveys provide not only image data but also catalogues of millions of objects (stars, galaxies), each ob...
Bilkis J. Ferdosi, Hugo Buddelmeijer, Scott Trager...
IEEEVAST
2010
9 years 5 months ago
Anomaly detection in GPS data based on visual analytics
Modern machine learning techniques provide robust approaches for data-driven modeling and critical information extraction, while human experts hold the advantage of possessing hig...
Zicheng Liao, Yizhou Yu, Baoquan Chen
IEEEVAST
2010
9 years 5 months ago
Understanding text corpora with multiple facets
Text visualization becomes an increasingly more important research topic as the need to understand massive-scale textual information is proven to be imperative for many people and...
Lei Shi, Furu Wei, Shixia Liu, Li Tan, Xiaoxiao Li...
IEEEVAST
2010
9 years 5 months ago
ALIDA: Using machine learning for intent discernment in visual analytics interfaces
In this paper, we introduce ALIDA, an Active Learning Intent Discerning Agent for visual analytics interfaces. As users interact with and explore data in a visual analytics enviro...
Tera Marie Green, Ross Maciejewski, Steve DiPaola
IEEEVAST
2010
9 years 5 months ago
Improving the visual analysis of high-dimensional datasets using quality measures
Modern visualization methods are needed to cope with very highdimensional data. Efficient visual analytical techniques are required to extract the information content in these dat...
Georgia Albuquerque, Martin Eisemann, Dirk J. Lehm...
IEEEVAST
2010
9 years 5 months ago
Geo-historical context support for information foraging and sensemaking: Conceptual model, implementation, and assessment
Information foraging and sensemaking with heterogeneous information are context-dependent activities. Thus visual analytics tools to support these activities must incorporate cont...
Brian M. Tomaszewski, Alan M. MacEachren
IEEEVAST
2010
9 years 5 months ago
An exploratory study of co-located collaborative visual analytics around a tabletop display
Co-located collaboration can be extremely valuable during complex visual analytics tasks. This paper presents an exploratory study of a system designed to support collaborative vi...
Petra Isenberg, Danyel Fisher, Meredith Ringel Mor...
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