[IP3-4-5] Decision trees

Decision trees is a data mining technique used in different disciplines including Remote Sensing. It uses a tree-like prediction model to identify a pattern in the input data. One of the most popular decision tree algorithms is the CART (Classification and Regression Tree) algorithm.

Introduction

External resources

• Breiman L, Friedman JH, Olshen RA, Sotne CJ (1984) Classification and regression trees. Wadsworth, Belmont
• Jensen, J. R. (2005). Introductory digital image processing: a remote sensing perspective (3rd ed.). Upper Saddle River, N.J.: Prentice Hall.
• Quinlan, J. R. 1986. Induction of Decision Trees. Mach. Learn. 1, 1 (Mar. 1986), 81-106

Skills

• 1179 - Understand the role of pruning for reducing overfitting when applying decision trees for various classification purposes

  Understand the role of pruning for reducing overfitting when applying decision trees for various classification purposes

Status

Outgoing relations

• [IP3-4-5] Decision trees is prerequisite of [IP3-4-7-1] Random forest (RF)
• [IP3-4-5] Decision trees is subconcept of [IP3-4] Image classification

Incoming relations

• [IP3-4-5-1] Production system is subconcept of [IP3-4-5] Decision trees

Contributors

• Florian Albrecht
  https://www.researchgate.net/profile/Florian_Albrecht
• Mariana Belgiu
  https://research.utwente.nl/en/persons/mariana-belgiu
• Stefan Lang
  https://www.uni-salzburg.at/index.php?id=32483&L=1