Efficient C4.5

By Salvatore Ruggieri. IEEE Transactions on Knowledge and Data Engineering, 2002

325 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/3d70293d47605f21ef9478979745776b8d4e4483

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. Salvatore Ruggieri
2. Sara Hajian
3. Faisal Kamiran
4. Indrė Žliobaitė
5. Bettina Berendt
6. Sören Preibusch
7. Andrea Romei
8. Franco Turini

In Computational Theory and Mathematics

1. Salvatore Ruggieri
2. Riccardo Guidotti

In Information Systems

1. Salvatore Ruggieri
2. Riccardo Guidotti
3. Sara Hajian
4. Franco Turini
5. Andrea Romei

Citations in the corpus

• Complete Search for Feature Selection in Decision Trees (2019, methodology): “All procedures described in this paper are implemented by extending the YaDT system (Ruggieri, 2002, 2004; Aldinucci et al., 2014).”
• YaDT: yet another decision tree builder (2004, methodology): “As noted in [ 11 ], this is the main source of C4.5 efficiency limitations and should be replaced with a binary search (obviously, this requires maintaining an ordered list of attribute values or a similar appropriate data structure).”