Mining Optimal Class Association Rule Set

By Jiuyong Li, Hong Shen, Rodney W. Topor. 2001

49 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

1. Masakazu Ishihata
2. Sébastien Gambs
3. Ulrich Matchi Aïvodji
4. Julien Ferry
5. Alain Tapp
6. Hiromi Arai
7. Marie-José Huguet
8. Mohamed Siala

In Computational Theory and Mathematics

1. Sébastien Gambs
2. Masakazu Ishihata
3. Marie-José Huguet
4. Mohamed Siala
5. Satoshi Hara

In Information Systems

1. Masakazu Ishihata
2. Marie-José Huguet
3. Mohamed Siala
4. Satoshi Hara

Citations in the corpus

• Fairwashing: the risk of rationalization (2019, background): “Examples of interfaces accepted in the literature as interpretable models include linear models [30], decision trees [7], rule lists [31, 23, 2] and rule sets [24].”
• Learning Fair Rule Lists (2019, background): “For instance, when they have small or of reasonable size [44], ∗ Principal contributor. the following models can be considered as interpretable: rules sets [18, 43, 46, 54], rule lists [3, 59, 61], decision trees [9, 51] and scoring systems [39, 57, 64].”
• Approximate and Exact Enumeration of Rule Models (2018, methodology): “Three major types of rule models are used for building interpretable models: decision trees (Breiman et al. 1984; Quinlan 2014), rule lists (Rivest 1987; Letham et al. 2015; Angelino et al. 2017), and rule sets (Li, Shen, and Topor 2002; Lakkaraju, Bach, and Leskovec 2016).”