Handbook of Statistical Analysis and Data Mining Applications

By R. Nisbet, J. Elder, G. Miner. 2009

827 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Information Systems

View Paper: https://www.semanticscholar.org/paper/07d403f01ca39b87c65d610e918a2d3ff7d58214

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Saharon Rosset
2. Claudia Perlich
3. Shachar Kaufman

In Information Systems

1. Eyman A. Alyahyan
2. Saharon Rosset
3. Dilek Düştegör

Citations in the corpus

• Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions (2010, background): “, 1991; Owen, A., 1991). The under-linear case can occur with say, a neural network that hasn’t trained long enough to pull all its weights into play. The over-linear case is more widely known. For example, Friedman and Silverman (1989) note the following: “The results of Hastie and Tibshirani (1985”
• Leakage in data mining: formulation, detection, and avoidance (2011, background): “Two medical data mining contests held the following year and which also exhibited leakage are discussed in [7, 13].”
• Predicting academic success in higher education: literature review and best practices (2020, background): “New variables can be derived from existing variables by combining them (Nisbet et al., 2009).”