On the public citation graph
The contruction and evaluation of decision trees: A comparison of evolutionary and concept learning methods
0 signed · 40 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4615-1519-7_2openalex-snapshot
Foundations of Genetic Algorithms
inferredcites →https://doi.org/10.1007/bf00116837openalex-snapshot
An Empirical Comparison of Selection Measures for Decision-Tree Induction
inferredcites →https://doi.org/10.1007/bf00994006openalex-snapshot
A Further Comparison of Splitting Rules for Decision-Tree Induction
inferredcites →https://doi.org/10.1016/b978-0-08-050684-5.50008-2openalex-snapshot
A Comparative Analysis of Selection Schemes Used in Genetic Algorithms
inferredcites →https://doi.org/10.1016/b978-0-934613-64-4.50016-5openalex-snapshot
Improved Decision Trees: A Generalized Version of ID3
inferredcites →https://doi.org/10.1016/c2009-0-27845-7openalex-snapshot
Essentials of Artificial Intelligence
inferredcites →https://doi.org/10.5860/choice.27-0936openalex-snapshot
Genetic algorithms in search, optimization, and machine learning
inferredcites →https://doi.org/10.7939/r3b470openalex-snapshot
Genetic Invariance: A New Paradigm for Genetic Algorithm Design
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9780470400531.eorms0596openalex-snapshot
Operations Research in Data Mining
inferred← citeshttps://doi.org/10.1007/3-540-36182-0_40openalex-snapshot
Using Genetic Algorithms-Based Approach for Better Decision Trees: A Computational Study
inferred← citeshttps://doi.org/10.1007/978-1-4615-4567-5_2openalex-snapshot
Building a High-quality Decision Tree with a Genetic Algorithm
inferred← citeshttps://doi.org/10.1007/978-3-319-57351-9_3openalex-snapshot
A Global Search Approach for Inducing Oblique Decision Trees Using Differential Evolution
inferred← citeshttps://doi.org/10.1007/978-3-319-69096-4_116openalex-snapshot
The Application of Decision Tree in Workflow
inferred← citeshttps://doi.org/10.1007/978-3-319-93752-6_2openalex-snapshot
Evolutionary Computing Techniques in Data Mining
inferred← citeshttps://doi.org/10.1007/978-3-540-24855-2_94openalex-snapshot
Mixed Decision Trees: Minimizing Knowledge Representation Bias in LCS
inferred← citeshttps://doi.org/10.1007/978-3-662-45237-0_4openalex-snapshot
Evolutionary Algorithm for Decision Tree Induction
inferred← citeshttps://doi.org/10.1007/s10710-015-9243-7openalex-snapshot
Prudent alignment and crossover of decision trees in genetic programming
inferred← citeshttps://doi.org/10.1007/s10732-024-09544-zopenalex-snapshot
Evolutionary optimization of the area under precision-recall curve for classifying imbalanced multi-class data
inferred← citeshttps://doi.org/10.1016/j.asoc.2014.12.036openalex-snapshot
Enhancing the effectiveness of Ant Colony Decision Tree algorithms by co-learning
inferred← citeshttps://doi.org/10.1016/j.asoc.2023.110412openalex-snapshot
Automatic design of machine learning via evolutionary computation: A survey
inferred← citeshttps://doi.org/10.1016/j.cor.2005.02.035openalex-snapshot
Diversification for better classification trees
inferred← citeshttps://doi.org/10.1016/j.ejor.2006.09.023openalex-snapshot
Operations research and data mining
inferred← citeshttps://doi.org/10.1016/j.eswa.2019.03.052openalex-snapshot
A data sampling and attribute selection strategy for improving decision tree construction
inferred← citeshttps://doi.org/10.1016/j.ins.2016.08.051openalex-snapshot
Collective data mining in the ant colony decision tree approach
inferred← citeshttps://doi.org/10.1016/j.procs.2016.05.508openalex-snapshot
Learning Decision Trees from Data Streams with Concept Drift
inferred← citeshttps://doi.org/10.1016/j.swevo.2021.101006openalex-snapshot
Induction of decision trees as classification models through metaheuristics
inferred← citeshttps://doi.org/10.1016/s0164-1212(00)00005-4openalex-snapshot
An investigation of machine learning based prediction systems
inferred← citeshttps://doi.org/10.1016/s0950-5849(01)00192-6openalex-snapshot
Can genetic programming improve software effort estimation? A comparative evaluation
inferred← citeshttps://doi.org/10.1109/access.2017.2788700openalex-snapshot
Construction of Near-Optimal Axis-Parallel Decision Trees Using a Differential-Evolution-Based Approach
inferred← citeshttps://doi.org/10.1109/access.2024.3498907openalex-snapshot
A Differential-Evolution-Based Approach to Extract Univariate Decision Trees From Black-Box Models Using Tabular Data
inferred← citeshttps://doi.org/10.1109/cec.2001.934352openalex-snapshot
A computational study of using genetic algorithms to develop intelligent decision trees
inferred← citeshttps://doi.org/10.1109/iraniancis.2014.6802543openalex-snapshot
Evolutionary decision tree induction with multi-interval discretization
inferred← citeshttps://doi.org/10.1109/snpd.2010.47openalex-snapshot
Analogies and Differences between Machine Learning and Expert Based Software Project Effort Estimation
inferred← citeshttps://doi.org/10.1109/tsmcc.2011.2157494openalex-snapshot
A Survey of Evolutionary Algorithms for Decision-Tree Induction
inferred← citeshttps://doi.org/10.1111/coin.12153openalex-snapshot
Improving evolutionary decision tree induction with multi‐interval discretization
inferred← citeshttps://doi.org/10.11606/t.55.2013.tde-21032014-144814openalex-snapshot
On the automatic design of decision-tree induction algorithms
inferred← citeshttps://doi.org/10.1287/ijoc.15.1.3.15152openalex-snapshot
A Genetic Algorithm-Based Approach for Building Accurate Decision Trees
inferred← citeshttps://doi.org/10.1287/mnsc.49.10.1327.17310openalex-snapshot
On the Use of Optimization for Data Mining: Theoretical Interactions and eCRM Opportunities
inferred← citeshttps://doi.org/10.31274/rtd-180813-17095openalex-snapshot
Optimal instance selection for improved decision tree
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.