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Information Visualization and Visual Data Mining
- D. Keim
- Computer ScienceIEEE Trans. Vis. Comput. Graph.
This paper proposes 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.
The X-tree : An Index Structure for High-Dimensional Data
An Efficient Approach to Clustering in Large Multimedia Databases with Noise
A new algorithm to clustering in large multimedia databases called DENCLUE (DENsity-based CLUstEring) is introduced, which has a firm mathematical basis, has good clustering properties in data sets with large amounts of noise, allows a compact mathematical description of arbitrarily shaped clusters in high-dimensional data sets and is significantly faster than existing algorithms.
On the Surprising Behavior of Distance Metrics in High Dimensional Spaces
This paper examines the behavior of the commonly used L k norm and shows that the problem of meaningfulness in high dimensionality is sensitive to the value of k, which means that the Manhattan distance metric is consistently more preferable than the Euclidean distance metric for high dimensional data mining applications.
Visual Analytics: Definition, Process, and Challenges
- D. Keim, G. Andrienko, Jean-Daniel Fekete, C. Görg, J. Kohlhammer, G. Melançon
- Computer ScienceInformation Visualization
- 1 March 2008
The possibilities to collect and store data increase at a faster rate than the ability to use it for making decisions, and in most applications, raw data has no value in itself; instead the authors want to extract the information contained in it.
Mastering the Information Age - Solving Problems with Visual Analytics
Information visualisation and geographic visualisation need information visualisation because they manage multi-valued data with complex topologies that can be visualised using their canonical geometry and 3D systems use specific types of interfaces that are very different to traditional desktop interfaces.
Searching in high-dimensional spaces: Index structures for improving the performance of multimedia databases
An overview of the current state of the art in querying multimedia databases is provided, describing the index structures and algorithms for an efficient query processing in high-dimensional spaces.
Visual Analytics: Scope and Challenges
- D. Keim, Florian Mansmann, Jörn Schneidewind, James J. Thomas, H. Ziegler
- Computer ScienceVisual Data Mining
- 1 April 2008
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 is provided.
Interactive Data Visualization - Foundations, Techniques, and Applications
Practical practitioners, developers, teachers and students as well as those interested in gaining some exposure to the field will get an in-depth understanding of visualization techniques and are provided with sufficient information, often with full source code, to complete an implementation.
Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering
A new clustering technique called OptiGrid is developed which is based on constructing an optimal grid-partitioning of the data and has a mathematical basis which is by far more e ectiveness andiency than existing clustering algorithms for highdimensional data.