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» Detecting Flaws and Intruders with Visual Data Analysis
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BALT
2006
13 years 11 months ago
A Multiple Correspondence Analysis to Organize Data Cubes
Abstract. On Line Analytical Processing (OLAP) is a technology basically created to provide users with tools in order to explore and navigate into data cubes. Unfortunately, in hug...
Riadh Ben Messaoud, Omar Boussaid, Sabine Loudcher...
GFKL
2004
Springer
137views Data Mining» more  GFKL 2004»
14 years 23 days ago
Density Estimation and Visualization for Data Containing Clusters of Unknown Structure
Abstract. A method for measuring the density of data sets that contain an unknown number of clusters of unknown sizes is proposed. This method, called Pareto Density Estimation (PD...
Alfred Ultsch
CIVR
2003
Springer
127views Image Analysis» more  CIVR 2003»
14 years 18 days ago
Detection of Documentary Scene Changes by Audio-Visual Fusion
The concept of a documentary scene was inferred from the audio-visual characteristics of certain documentary videos. It was observed that the amount of information from the visual ...
Atulya Velivelli, Chong-Wah Ngo, Thomas S. Huang
VISSYM
2004
13 years 8 months ago
Shape-Embedded-Histograms for Visual Data Mining
Scatterplots are widely used in exploratory data analysis and class visualization. The advantages of scatterplots are that they are easy to understand and allow the user to draw c...
Amihood Amir, Reuven Kashi, Daniel A. Keim, Nathan...
BMCBI
2005
112views more  BMCBI 2005»
13 years 7 months ago
Visualization methods for statistical analysis of microarray clusters
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
Matthew A. Hibbs, Nathaniel C. Dirksen, Kai Li, Ol...