From Visual Data Exploration to Visual Data Mining: A Survey
By Maria Cristina Ferreira de Oliveira, Haim Levkowitz. 2003
555 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Signal Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- L. V. D. van der Maaten
- Geoffrey E. Hinton
- Luc Van Gool
- Trevor Darrell
- Dacheng Tao
- Xiaogang Wang
- Andrew Zisserman
- Yi Yang
In Signal Processing
- Niklas Elmqvist
- Jean-Daniel Fekete
- L. V. D. van der Maaten
- Geoffrey E. Hinton
- Charles Sutton
- Geoffrey P. Ellis
- Chang Yi
- Kai Xu
Citations in the corpus
- Interpreting Deep Classifier by Visual Distillation of Dark Knowledge (2018, background): “This has been an important topic in visual analytics over the last few decades (De Oliveira & Levkowitz, 2003).”
- Hierarchical Aggregation for Information Visualization: Overview, Techniques, and Design Guidelines (2010, background): “However, overview is becoming increasingly difficult to effectively achieve with the ever-increasing size of real-world datasets.”
- Visualization and Visual Analysis of Multifaceted Scientific Data: A Survey (2013, unknown): “[25], and de Oliveira and Levkowitz [66].”
- Visualizing Data using t-SNE (2008, background): “Over the last few decades, a variety of techniques for the visualization of such high-dimensional data have been proposed, many of which are reviewed by Ferreira de Oliveira and Levkowitz (2003).”
- Mastering the Information Age - Solving Problems with Visual Analytics (2010, background): “Commercial products such as VMiner3D[35] (see Figure 3.”
- Visualizing High-Dimensional Data: Advances in the Past Decade (2017, unknown): “Detailed surveys and discussions on the topic of visual data mining can be found in [10], [11], [12].”