The Fourth Paradigm: Data-Intensive Scientific Discovery
By Iain E. Buchan, John M. Winn, Christopher M. Bishop. 2009
55 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Anuj Karpatne
- Gowtham Atluri
- Vipin Kumar
- Michael S. Steinbach
- Arindam Banerjee
- Runhai Ouyang
- Matthias Scheffler
- James H. Faghmous
Citations in the corpus
- Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data (2016, methodology): “The paradigm of TGDS, if effectively utilized, can help us realize the vision of the “fourth paradigm” [84] in its full glory, where data serves an integral role at every step of scientific knowledge discovery.”
- SISSO: A compressed-sensing method for identifying the best low-dimensional descriptor in an immensity of offered candidates (2017, background): “This type of complexity is a significant element of ‘the fourth paradigm in materials sci-ence’ [18, 29, 30] which recognizes that it may not be possible to describe many properties of functional materials by a single, physically founded model, i.e., via a closed, analytical expression.”