D. Keim

Publications660
h-index71
Citations28,047
Highly Influential Citations1,369
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Information Visualization and Visual Data Mining
  • D. Keim
  • Computer Science
  • IEEE Trans. Vis. Comput. Graph.
  • 2002
TLDR
We propose a classification of information visualization and visual data mining techniques which is based on the data type to be visualized, the visualization technique, and the interaction and distortion technique. Expand
An Efficient Approach to Clustering in Large Multimedia Databases with Noise
TLDR
We introduce a new algorithm to clustering in large multimedia databases called DENCLUE (DENsity-based CLUstEring). Expand
The X-tree : An Index Structure for High-Dimensional Data
TLDR
In this paper, we propose a new method for indexing large amounts of point and spatial data in high-dimensional space. Expand
On the Surprising Behavior of Distance Metrics in High Dimensional Spaces
TLDR
In this paper, we view the dimensionality curse from the point of view of the distance metrics which are used to measure the similarity between objects. Expand
Visual Analytics: Definition, Process, and Challenges
TLDR
We are living in a world which faces a rapidly increasing amount of data to be dealt with on a daily basis. Expand
Mastering the Information Age - Solving Problems with Visual Analytics
TLDR
Information visualisation is a visual analytics issue that should be better tackled by all the visualisation communities. Expand
Searching in high-dimensional spaces: Index structures for improving the performance of multimedia databases
TLDR
In this survey we provide an overview of the current state of the art in querying multimedia databases, describing the index structures and algorithms for an efficient query processing in high-dimensional spaces. Expand
Visual Analytics: Scope and Challenges
TLDR
This paper gives an overview of visual analytics, its scope and concepts, addresses the most important research challenges and presents use cases from a wide variety of application scenarios. Expand
Interactive Data Visualization - Foundations, Techniques, and Applications
TLDR
This book provides the theory, practical details, and tools necessary for building visualizations or systems involving the visualization of data. Expand
Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering
TLDR
We develop a new clustering technique called OptiGrid which is based on constructing an optimal grid-partitioning of the data. Expand
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