MotivationThe exploration and visualization of large information spaces is a challenging task.The provided contest data set for example contains more than 1000 authors of about 600 papers.The basic idea for an effective data exploration is to include the human in the data exploration process and combine the flexibility, creativity, and general knowledge of the human with the enormous storage capacity and the computational power of today's computers.The key concept of our visualization approach is to visualize the whole dataset to provide a first overview and to provide rapid, incremental, and reversible analysis actions.Our techniques follow the well-known Information Seeking Mantra: overviews first, zoom and filter, and details on demand.All visualizations, actions, and details are tightly coupled using the well-known linking and brushing concepts.
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Keim et al. (2005) studied this question.