Extended Taxonomy of Rule Extraction Techniques and Assessment of KDRuleEx
By Kamal K. Sethi, Durgesh Kumar Mishra, Bharat Mishra. 2012
12 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics, Information Systems
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
- Nadia Burkart
- Marco F. Huber
- Tameru Hailesilassie
- Octavio Loyola-González
- Gesina Schwalbe
- Bettina Finzel
- Longo Luca
- Giulia Vilone
In Computational Theory and Mathematics
In Information Systems
Citations in the corpus
- Rule Extraction Algorithm for Deep Neural Networks: A Review (2016, background): “The weight of internal structure of artificial neural network is not subjected to analysis [21].”
- A Survey on the Explainability of Supervised Machine Learning (2020, methodology): “ation Pedagogical Rule-based Biswas et al. (2017) BETA Reverse engineering Classication Pedagogical Rule-based Lakkaraju et al. (2017) KDRuleEX Genetic algorithm Classication Pedagogical Rule-based Sethi et al. (2012) TREPAN Symbolic Learning Classication Pedagogical Tree-based Craven and Shavlik (1”