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Learning decision trees from decision rules: A method and initial results from a comparative study
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-662-12405-5_15openalex-snapshot
LEARNING EFFICIENT CLASSIFICATION PROCEDURES AND THEIR APPLICATION TO CHESS END GAMES
inferredcites →https://doi.org/10.1007/bf00116837openalex-snapshot
An Empirical Comparison of Selection Measures for Decision-Tree Induction
inferredcites →https://doi.org/10.1007/bfb0017010openalex-snapshot
On estimating probabilities in tree pruning
inferredcites →https://doi.org/10.1016/0004-3702(83)90016-4openalex-snapshot
A theory and methodology of inductive learning
inferredcites →https://doi.org/10.1016/0022-2496(83)90037-8openalex-snapshot
Machine learning: An artificial intelligence approach
inferredcites →https://doi.org/10.1016/0377-2217(85)90321-2openalex-snapshot
Classification and regression trees
inferredcites →https://doi.org/10.1016/b978-0-08-051055-2.50007-9openalex-snapshot
LEARNING FLEXIBLE CONCEPTS
inferredcites →https://doi.org/10.1016/b978-0-08-051055-2.50011-0openalex-snapshot
PROBABILISTIC DECISION TREES
inferredcites →https://doi.org/10.1016/b978-1-55860-141-3.50042-0openalex-snapshot
Integrated Learning in a Real Domain
inferredcites →https://doi.org/10.1016/s0020-7373(87)80053-6openalex-snapshot
Simplifying decision trees
inferredcites →https://doi.org/10.1023/a:1022604100933openalex-snapshot
An Empirical Comparison of Pruning Methods for Decision Tree Induction
inferredcites →https://doi.org/10.1109/tai.1991.167073openalex-snapshot
Data-driven constructive induction in AQ17-PRE: A method and experiments
inferredcites →https://doi.org/10.13021/mars/3370openalex-snapshot
The MONK's problems: A Performance Comparison of Different Learning Algorithms
inferredcites →https://doi.org/10.13021/mars/3381openalex-snapshot
AQVAL/1--Computer Implementation of a Variable-Valued Logic System VL1 and Examples of its Application to Pattern Recognition
inferredcites →https://doi.org/10.13021/mars/3497openalex-snapshot
Constructive Induction from Data in AQ17-DCI: Further Experiments
inferredcites →https://doi.org/10.13021/mars/3572openalex-snapshot
Designing Extended Entry Decision Tables and Optimal Decision Trees Using Decision Diagrams
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/11427834_12openalex-snapshot
Time Complexity of Decision Trees
inferred← citeshttps://doi.org/10.1007/3-540-61286-6_170openalex-snapshot
An empirical study on the incompetence of attribute selection criteria
inferred← citeshttps://doi.org/10.1007/978-3-031-65665-1_12openalex-snapshot
Simulating Functioning of Decision Trees for Tasks on Decision Rule Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-70819-0_12openalex-snapshot
Modeling the Functioning of Decision Trees Based on Decision Rule Systems by Greedy Algorithm
inferred← citeshttps://doi.org/10.1007/978-3-642-04985-9_12openalex-snapshot
RBDT-1: A New Rule-Based Decision Tree Generation Technique
inferred← citeshttps://doi.org/10.1007/978-981-97-5937-8_13openalex-snapshot
Complexity of Transforming Decision Rule Systems into Decision Trees and Acyclic Decision Graphs
inferred← citeshttps://doi.org/10.1007/s10472-024-09933-xopenalex-snapshot
Bounds on depth of decision trees derived from decision rule systems with discrete attributes
inferred← citeshttps://doi.org/10.1007/s11042-014-1895-4openalex-snapshot
Analysis of the quality of experience of a commercial voice-over-IP service
inferred← citeshttps://doi.org/10.1016/j.procs.2023.10.426openalex-snapshot
Decision Rules Induced From Sets of Decision Trees
inferred← citeshttps://doi.org/10.1038/s41598-025-17265-xopenalex-snapshot
Structure analysis in an octocopter using piezoelectric sensors and machine learning
inferred← citeshttps://doi.org/10.1109/afgr.1996.557259openalex-snapshot
Face and hand gesture recognition using hybrid classifiers
inferred← citeshttps://doi.org/10.1109/igarss53475.2024.10641199openalex-snapshot
Monitoring Desertification in Tunisia Using Modis Ecological Indicators and Machine Learning
inferred← citeshttps://doi.org/10.1111/coin.12049openalex-snapshot
Creating Decision Trees from Rules using RBDT‐1
inferred← citeshttps://doi.org/10.22533/at.ed.3173362325109openalex-snapshot
On Discovering Qualitative Knowledge in Rule Based Knowledge Bases. An Intelligent Approach
inferred← citeshttps://doi.org/10.23919/cisti49556.2020.9141058openalex-snapshot
On Discovering Qualitative Knowledge in Rule Based Knowledge Bases: An Intelligent Approach
inferred← citeshttps://doi.org/10.3233/fi-1997-303405openalex-snapshot
Seeking Knowledge in the Deluge of Facts
inferred← citeshttps://doi.org/10.3390/books978-3-0365-3894-5openalex-snapshot
Regulatory Data Science for Medical Devices
inferred← citeshttps://doi.org/10.3390/prosthesis4010012openalex-snapshot
Using Rule-Based Decision Trees to Digitize Legislation
inferred← citeshttps://doi.org/10.4018/978-1-60566-810-9.ch002openalex-snapshot
Logic-Based Reasoning in the Framework of Artificial Intelligence
inferred← citeshttps://doi.org/10.62036/isd.2022.24openalex-snapshot
Learning Decision Rules from Sets of Decision Trees
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