Rules for contrast sets

By Paulo Jorge de Sousa Azevedo. 2010

15 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. Himabindu Lakkaraju
2. Jure Leskovec
3. Stephen H. Bach
4. Tong Wang
5. William L. Hamilton
6. Marinka Zitnik
7. Christopher R'e
8. Alexey Ignatiev

In Computational Theory and Mathematics

1. Jure Leskovec
2. Himabindu Lakkaraju
3. Stephen H. Bach
4. Marinka Zitnik

In Information Systems

1. Himabindu Lakkaraju
2. Jure Leskovec
3. Stephen H. Bach
4. Tong Wang
5. Alexey Ignatiev
6. Joao Marques-Silva
7. Nina Narodytska
8. Finale Doshi-Velez

Citations in the corpus

• Interpretable Decision Sets: A Joint Framework for Description and Prediction (2016, background): “Similarly, algorithms for problems such as subgroup discovery [24, 33, 40, 46], contrast set learning [3, 4, 30], and emerging pattern mining [17, 19] identify sets of rules to describe the relationships among variables and discover interesting patterns in the data.”