Data Mining and Statistics for Decision Making
By Stphane Tuffry. 2011
355 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/2c40e6439fd283cf960cb9a753a018adc7ab0ad5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Ewout W. Steyerberg
- Peter C. Austin
- T. van der Ploeg
- Mehdi Allahyari
- Tarek Lajnef
- Seyedamin Pouriyeh
- Mehdi Assefi
- S. Chaibi
Citations in the corpus
- Modern modelling techniques are data hungry: a simulation study for predicting dichotomous endpoints (2014, methodology): “For a description of these modelling techniques, based on the work of various authors [12,15,20,21], we refer to Additional file 1.”
- A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques (2017, background): “There has been a tremendous quantities of research for data mining and statistical learning [1, 62, 78, 137].”
- Learning machines and sleeping brains: Automatic sleep stage classification using decision-tree multi-class support vector machines. (2015, methodology): “In the ascendant approach used here, observations hat stem from each final cluster (class) are sequentially merged as e move up the hierarchy (Hastie, 2009; Tuffery, 2011).”