Rule quality for multiple-rule classifier: Empirical expertise and theoretical methodology1-Reference-Cited by-同舟云学术

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Rule quality for multiple-rule classifier: Empirical expertise and theoretical methodology1

Published:2003-05-12 Issue:2 Volume:7 Page:99-124
ISSN:1571-4128
Container-title:Intelligent Data Analysis
language:
Short-container-title:IDA

Author:

Bruha Ivan¹,Tkadlec Josef²

Affiliation:

1. Department Computing & Software, McMaster University, Hamilton, Ont., L8S4K1 Canada. E-mail: bruha@mcmaster.ca

2. Department of Mathematics, Faculty of Electrical Engineering, Czech Technical University, 16627 Praha, Czech Republic. E-mail: tkadlec@fel.cvut.cz

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Impact of Rule Evaluation Metrics as a Conflict Resolution Strategy;Communications in Computer and Information Science;2020

2. Decision Rule Learning from Stream of Measurements—A Case Study in Methane Hazard Forecasting in Coal Mines;Advances in Intelligent Systems and Computing;2017-09-20

3. Censoring Weighted Separate-and-Conquer Rule Induction from Survival Data;Methods of Information in Medicine;2014

4. Data-driven adaptive selection of rule quality measures for improving rule induction and filtration algorithms;International Journal of General Systems;2013-08

5. Rule Quality Measure-Based Induction of Unordered Sets of Regression Rules;Artificial Intelligence: Methodology, Systems, and Applications;2012

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