Data visualization: Mapping the topical space

A new approach for data visualization problem

Data visualization is the process of transforming data, information, and knowledge into visual form, making use of humans’ natural visual capabilities which reveals relationships in data sets that are not evident from the raw data, by using mathematical techniques to reduce the number of dimensions in the data set while preserving the relevant inherent properties. In this paper, we formulated d...

Multidimensional data mapping - integrating mining and visualization

Projection or point placement techniques, which seek to map multidimensional data onto visual spaces, have been the interest of the visual data analysis community for a long time due to their ability for exploratory tasks based on similarity and correlation. However, many problems still persist that impair their application, particularly those caused by the compromises involving computational c...

Three-dimensional Visualization, Interactive Analysis and Contextual Mapping of Space-time Cancer Data

The increase in computational power and storage capacity of computers, combined with the growing availability of geocoded data, has increased dramatically the amount of information processed in health studies, making it difficult to understand, to explore, and to discover interesting patterns within the data. The major difficulty in the analysis of health outcomes is that the patterns observed ...

CheS-Mapper - Chemical Space Mapping and Visualization in 3D

Analyzing chemical datasets is a challenging task for scientific researchers in the field of chemoinformatics. It is important, yet difficult to understand the relationship between the structure of chemical compounds, their physico-chemical properties, and biological or toxic effects. To that respect, visualization tools can help to better comprehend the underlying correlations. Our recently de...

Genotypic-Space Mapping: Population Visualization for Genetic Algorithms