GuideR: A guided separate-and-conquer rule learning in classification, regression, and survival settings
| Autor: | Marek Sikora, Łukasz Wróbel, Adam Gudyś |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
FOS: Computer and information sciences
Computer Science - Machine Learning Information Systems and Management business.industry Rule induction Process (engineering) Computer science Machine Learning (stat.ML) 02 engineering and technology Machine learning computer.software_genre Regression Machine Learning (cs.LG) Management Information Systems Statistics - Machine Learning Artificial Intelligence 020204 information systems 0202 electrical engineering electronic engineering information engineering Domain knowledge 020201 artificial intelligence & image processing Artificial intelligence business computer Software Selection (genetic algorithm) |
| Zdroj: | Knowledge-Based Systems. 173:1-14 |
| ISSN: | 0950-7051 |
| DOI: | 10.1016/j.knosys.2019.02.019 |
| Popis: | This article presents GuideR, a user-guided rule induction algorithm, which overcomes the largest limitation of the existing methods—the lack of the possibility to introduce user’s preferences or domain knowledge to the rule learning process. Automatic selection of attributes and attribute ranges often leads to the situation in which resulting rules do not contain interesting information. We propose an induction algorithm which takes into account user’s requirements. Our method uses the sequential covering approach and is suitable for classification, regression, and survival analysis problems. The effectiveness of the algorithm in all these tasks has been verified experimentally, confirming guided rule induction to be a powerful data analysis tool. |
| Databáze: | OpenAIRE |
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