The CN2 induction algorithm
By Peter Clark, Tim Niblett. Machine-mediated learning, 2004
310 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics, Information Systems
View Paper: https://www.semanticscholar.org/paper/8280285fd0b1c32df69f07082e27893132d2de8f
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
- Alexey Ignatiev
- Joao Marques-Silva
- Nina Narodytska
- Richard Jensen
- Tarek Abudawood
- Manuel Graña
- Michal Wozniak
- Qiang Shen
In Computational Theory and Mathematics
- Richard Jensen
- Qiang Shen
- Nina Narodytska
- Joao Marques-Silva
- Alexey Ignatiev
- Manuel Graña
- Michal Wozniak
- Filipe Pereira
In Information Systems
- Alexey Ignatiev
- Richard Jensen
- Qiang Shen
- Joao Marques-Silva
- Manuel Graña
- Michal Wozniak
- Filipe Pereira
- Thomas S. Huang
Citations in the corpus
- Computational Intelligence and Feature Selection - Rough and Fuzzy Approaches (2008, background): “2 CN2 CN2 induces propositional classification rules from data [58].”
- Neural, symbolic and neural-symbolic reasoning on knowledge graphs (2021, methodology): “Two kinds of approaches are usually used to derive rules, where the top-down approach begins from general rules and adds new atoms to improve the coverage precision of positive instances (Clark and Niblett, Fig.”
- Authentic facial expression analysis (2004, methodology): “CN2 is the direct rule induction algorithm by Clark and Niblett [6].”
- A SAT-Based Approach to Learn Explainable Decision Sets (2018, background): “As a result, most algorithms for learning rule lists or sets are heuristic [7, 8, 33, 34], being in general efficient to run, but providing essentially no guarantees in terms of the quality of the computed rules.”
- TSE-IDS: A Two-Stage Classifier Ensemble for Intelligent Anomaly-Based Intrusion Detection System (2019, background): “CR is prevalently recognized as an inductive learner, where the objective of rule induction is to generate a set of rules from the data [62].”
- Evaluation Measures for Multi-class Subgroup Discovery (2009, methodology): “CN2 is a rule induction algorithm that can be applied to propositional data sets for inducing classification rules [5, 6].”
- A survey of multiple classifier systems as hybrid systems (2014, methodology): “We notice the similarity of such approach to the ordered set of rules [46] or decision list [47], when we consider each rule as the classifier.”