InfVis - Platform-Independent Visual Data Mining of Multidimensional Chemical Data Sets

@article{Oellien2005InfVisP,
  title={InfVis - Platform-Independent Visual Data Mining of Multidimensional Chemical Data Sets},
  author={Frank Oellien and Wolf-Dietrich Ihlenfeldt and Johann Gasteiger},
  journal={Journal of chemical information and modeling},
  year={2005},
  volume={45 5},
  pages={1456-67}
}
The tremendous increase of chemical data sets, both in size and number, and the simultaneous desire to speed up the drug discovery process has resulted in an increasing need for a new generation of computational tools that assist in the extraction of information from data and allow for rapid and in-depth data mining. During recent years, visual data mining has become an important tool within the life sciences and drug discovery area with the potential to help avoiding data analysis from turning… CONTINUE READING