PlumX Metrics
Embed PlumX Metrics

A GRASP method for building classification trees

Expert Systems with Applications, ISSN: 0957-4174, Vol: 39, Issue: 3, Page: 3241-3248
2012
  • 13
    Citations
  • 0
    Usage
  • 14
    Captures
  • 0
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    13
    • Citation Indexes
      10
    • Policy Citations
      3
      • Policy Citation
        3
  • Captures
    14

Article Description

This paper proposes a new method for constructing binary classification trees. The aim is to build simple trees, i.e. trees which are as less complex as possible, thereby facilitating interpretation and favouring the balance between optimization and generalization in the test data sets. The proposed method is based on the metaheuristic strategy known as GRASP in conjunction with optimization tasks. Basically, this method modifies the criterion for selecting the attributes that determine the split in each node. In order to do so, a certain amount of randomisation is incorporated in a controlled way. We compare our method with the traditional method by means of a set of computational experiments. We conclude that the GRASP method (for small levels of randomness) significantly reduces tree complexity without decreasing classification accuracy.

Provide Feedback

Have ideas for a new metric? Would you like to see something else here?Let us know