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CN2 algorithm

The CN2 induction algorithm is a learning algorithm for rule induction. It is designed to work even when the training data is imperfect. It is based… 
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Related topics

Related topics

3 relations
Algorithmic learning theoryID3 algorithmRule induction

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Handling Missing Values for the CN2 Algorithm
Missing values are existed in several practical data sets. Machine Learning algorithms, such as CN2, require missing values in a… 
2017
2017
Bias stress in PDI-CN2 and P3HT studied with Kelvin Probe Force Microscopy
2017
2017
A Rule Learning Approach to Discovering Contexts of Discrimination
In fairness-aware data mining, discrimination discovery refers to determining if social discrimination against certain… 
2016
2016
Pruning methods for rule induction
Machine learning is a research area within computer science that is mainly concerned with discovering regularities in data. Rule… 
2009
2009
Argumentation-based Distributed Induction
Argumentation can be used by a group of agents to discuss about the validity of hypotheses. In this paper we propose an… 
2005
2005
Rule Induction for Click-Stream Analysis: Set Covering and Compositional Approach
We present a set covering algorithm and a compositional algorithm to describe sequences of www pages visits in click-stream data… 
2000
2000
A report on experiments with weighted relative accuracy in CN2
In this report, the prediction performances of two rule evaluation measures, accuracy and weighted relative accuracy, are… 
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