Learning Complexity-Bounded Rule-Based Classifiers by Combining. Association Analysis and Genetic Algorithms

By Yu Yi, Eyke Hüllermeier. 2005

11 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Cynthia Rudin
2. Francisco Herrera
3. Jesús Alcalá-Fdez
4. Rafael Alcalá
5. Benjamin Letham
6. Tong Wang
7. Berk Ustun
8. Giulia Vilone

Citations in the corpus

• An Interpretable Stroke Prediction Model using Rules and Bayesian Analysis (2013, unknown): “Call the rule˜r i .”
• Building Interpretable Classifiers with Rules using Bayesian Analysis (2012, background): “In the past, associative classifiers have been constructed from heuristic sorting mechanisms [22, 25, 29, 36, 37, 44, 45].”
• A Fuzzy Association Rule-Based Classification Model for High-Dimensional Problems With Genetic Rule Selection and Lateral Tuning (2011, methodology): “On the other hand, in [25], the authors used an algorithm that is based on the Apriori algorithm to mine association rules only up to a certain level and to select the K most confident ones for each class among them, in order to finally employ a ge-”