Keywords
Variety (cybernetics)Computer scienceDecision treeMachine learningID3InferenceInductive reasoningArtificial intelligenceID3 algorithmManagement scienceDecision tree learningIncremental decision treeEngineering
Related Publications
A Communication-Efficient Parallel Algorithm for Decision Tree
Decision tree (and its extensions such as Gradient Boosting Decision Trees and Random Forest) is a widely used machine learning algorithm, due to its practical effectiveness and...
Programs for Machine Learning
Algorithms for constructing decision trees are among the most well known and widely used of all machine learning methods. Among decision tree algorithms, J. Ross Quinlan's ID3 a...
Classification Based on Decision Tree Algorithm for Machine Learning
Decision tree classifiers are regarded to be a standout of the most well-known methods to data classification representation of classifiers. Different researchers from various f...
Machine Learning Bias, Statistical Bias, and Statistical Variance of Decision Tree Algorithms
The term "bias" is widely used---and with different meanings---in the fields of machine learning and statistics. This paper clarifies the uses of this term and...
Induction
Two psychologists, a computer scientist, and a philosopher have collaborated to present a framework for understanding processes of inductive reasoning and learning in organisms ...
Publication Info
- Year
- 1986
- Type
- article
- Volume
- 1
- Issue
- 1
- Pages
- 81-106
- Citations
- 12250
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
12250
OpenAlex
Cite This
J. R. Quinlan
(1986).
Induction of decision trees.
Machine Learning
, 1
(1)
, 81-106.
https://doi.org/10.1007/bf00116251
Identifiers
- DOI
- 10.1007/bf00116251