Using regression trees to identify the habitat preference of the sea cucumber (Holothuria leucospilota) on Rarotonga, Cook Islands

By Saso Dzeroski, Darrin J. Drumm. 2003

87 citations recorded by the source corpus.

Subfields: Ecology, Ecology, Evolution, Behavior and Systematics, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/6fcfd4873b47884650baca0e1e0a4982c22c297d

How researchers see this paper

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

In Ecology

1. L. M. Carrascal
2. J. Seoane
3. David Palomino
4. César Luis Alonso
5. I. Czerniawska-Kusza

In Ecology, Evolution, Behavior and Systematics

1. L. M. Carrascal
2. J. Seoane
3. David Palomino
4. César Luis Alonso

Citations in the corpus

• Decision Tree Models for Prediction of Macroinvertebrate Taxa in the River Axios (Northern Greece) (2007, methodology): “Dzeroski and Drumm (2003) applied regression trees (M5¢) programme (a Java implementation of the M5 algorithm in WEKA (Witten and Frank 2000)), to predict sea cucumbers (Holothuria leucospilota) in lagoons around the Cook Islands.”
• Species-specific traits associated to prediction errors in bird habitat suitability modelling (2005, background): “…generalized additive models (Leathwick, 1998; Lehmann, 1998; Seoane et al., 2004), classification and regression trees (De’Ath and Fabricius, 2000; Dzeroski and Drumm, 2003), neural networks (Lek et al., 1996;Özesmi andÖzesmi, 1999; Dedecker et al., 2004) and distance-based models such as…”