On the public citation graph

Evolutionary design of decision trees

https://doi.org/10.1002/widm.1079
0 signed · 62 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.
Claim with ORCID
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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/net.3230260305openalex-snapshot
An approach to a problem in network design using genetic algorithms
inferredcites →https://doi.org/10.1002/widm.1056openalex-snapshot
Evolutionary design of decision trees for medical application
inferredcites →https://doi.org/10.1002/widm.8openalex-snapshot
Classification and regression trees
inferredcites →https://doi.org/10.1007/0-387-26325-x_36openalex-snapshot
Global learning of decision trees by an evolutionary algorithm
inferredcites →https://doi.org/10.1007/1-4020-7895-1_4openalex-snapshot
Genetic and Evolutionary Computation
inferredcites →https://doi.org/10.1007/11823728_25openalex-snapshot
Mixed Decision Trees: An Evolutionary Approach
inferredcites →https://doi.org/10.1007/3-540-32444-5_2openalex-snapshot
Representations for Genetic and Evolutionary Algorithms
inferredcites →https://doi.org/10.1007/3-540-62858-4_83openalex-snapshot
Inductive Genetic Programming with Decision Trees
inferredcites →https://doi.org/10.1007/978-0-387-30440-3_117openalex-snapshot
Decision Trees
inferredcites →https://doi.org/10.1007/978-0-387-69935-6_4openalex-snapshot
A Review of evolutionary Algorithms for Data Mining
inferredcites →https://doi.org/10.1007/978-3-540-30217-9_108openalex-snapshot
Detecting and Pruning Introns for Faster Decision Tree Evolution
inferredcites →https://doi.org/10.1007/978-3-662-04923-5openalex-snapshot
Data Mining and Knowledge Discovery with Evolutionary Algorithms
inferredcites →https://doi.org/10.1007/978-3-7091-7535-4_9openalex-snapshot
Minimum Cost Topology Optimisation of the Cost 239 European Optical Network
inferredcites →https://doi.org/10.1007/bf00116251openalex-snapshot
Induction of Decision Trees
inferredcites →https://doi.org/10.1007/bf00994660openalex-snapshot
Multivariate Decision Trees
inferredcites →https://doi.org/10.1007/bf02823145openalex-snapshot
An introduction to genetic algorithms
inferredcites →https://doi.org/10.1007/s10710-008-9059-9openalex-snapshot
Genetic programming for medical classification: a program simplification approach
inferredcites →https://doi.org/10.1016/j.cor.2005.02.035openalex-snapshot
Diversification for better classification trees
inferredcites →https://doi.org/10.1016/j.dss.2006.12.011openalex-snapshot
A multi-objective genetic programming approach to developing Pareto optimal decision trees
inferredcites →https://doi.org/10.1016/j.ins.2010.11.010openalex-snapshot
Evolutionary model trees for handling continuous classes in machine learning
inferredcites →https://doi.org/10.1016/s0020-0190(01)00284-8openalex-snapshot
Evolutionary induced decision trees for dangerous software modules prediction
inferredcites →https://doi.org/10.1016/s1386-5056(01)00176-9openalex-snapshot
Finding the right decision tree's induction strategy for a hard real world problem
inferredcites →https://doi.org/10.1023/a:1007608224229openalex-snapshot
A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms
inferredcites →https://doi.org/10.1023/a:1022694001379openalex-snapshot
A Distance-Based Attribute Selection Measure for Decision Tree Induction
inferredcites →https://doi.org/10.1023/a:1022699900025openalex-snapshot
Incremental Induction of Decision Trees
inferredcites →https://doi.org/10.1109/tsmc.1986.289288openalex-snapshot
Optimization of Control Parameters for Genetic Algorithms
inferredcites →https://doi.org/10.1109/tsmcc.2004.843247openalex-snapshot
Top-Down Induction of Decision Trees Classifiers—A Survey
inferredcites →https://doi.org/10.1109/tsmcc.2011.2157494openalex-snapshot
A Survey of Evolutionary Algorithms for Decision-Tree Induction
inferredcites →https://doi.org/10.1142/9789812771728openalex-snapshot
Data Mining with Decision Trees - Theory and Applications
inferredcites →https://doi.org/10.1145/1046456.1046467openalex-snapshot
A critical review of multi-objective optimization in data mining
inferredcites →https://doi.org/10.1145/1390156openalex-snapshot
Proceedings of the 25th international conference on Machine learning - ICML '08
inferredcites →https://doi.org/10.1145/1774088.1774327openalex-snapshot
Evolutionary model tree induction
inferredcites →https://doi.org/10.1145/2001858.2002050openalex-snapshot
Towards the automatic design of decision tree induction algorithms
inferredcites →https://doi.org/10.1145/2330163.2330335openalex-snapshot
A hyper-heuristic evolutionary algorithm for automatically designing decision-tree algorithms
inferredcites →https://doi.org/10.1145/2431211.2431215openalex-snapshot
A survey of cost-sensitive decision tree induction algorithms
inferredcites →https://doi.org/10.1145/846170.846172openalex-snapshot
A survey of data mining and knowledge discovery software tools
inferredcites →https://doi.org/10.1162/106365600568158openalex-snapshot
Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art
inferredcites →https://doi.org/10.13176/11.44openalex-snapshot
A Genetic Algorithm for Constructing Compact Binary Decision Trees
inferredcites →https://doi.org/10.1504/ijbic.2009.022779openalex-snapshot
Lexicographic multi-objective evolutionary induction of decision trees
inferredcites →https://doi.org/10.2307/1421207openalex-snapshot
Experiments in Induction
inferredcites →https://doi.org/10.2307/2530946openalex-snapshot
Classification and Regression Trees.
inferredcites →https://doi.org/10.2307/2533581openalex-snapshot
Construction and Assessment of Classification Rules.
inferredcites →https://doi.org/10.3233/ida-2000-43-410openalex-snapshot
Vector decision trees
inferredcites →https://doi.org/10.5860/choice.27-0936openalex-snapshot
Genetic algorithms in search, optimization, and machine learning
inferredcites →https://doi.org/10.7551/mitpress/1090.001.0001openalex-snapshot
Adaptation in Natural and Artificial Systems

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-030-16469-0_4openalex-snapshot
Improving Genetic Programming for Classification with Lazy Evaluation and Dynamic Weighting
inferred← citeshttps://doi.org/10.1007/978-3-030-21851-5_2openalex-snapshot
Decision Trees in Data Mining
inferred← citeshttps://doi.org/10.1007/978-3-031-73474-8_6openalex-snapshot
From Guesswork to Game Plan: Exploring Problem-Solving-Strategies in a Machine Learning Game
inferred← citeshttps://doi.org/10.1007/978-981-19-3888-7_3openalex-snapshot
A Metaheuristic Perspective on Learning Classifier Systems
inferred← citeshttps://doi.org/10.1016/j.ins.2013.07.025openalex-snapshot
Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation
inferred← citeshttps://doi.org/10.1057/s41270-023-00274-yopenalex-snapshot
Time analysis of online consumer behavior by decision trees, GUHA association rules, and formal concept analysis
inferred← citeshttps://doi.org/10.1109/cec.2015.7256874openalex-snapshot
Evolving balanced decision trees with a multi-population genetic algorithm
inferred← citeshttps://doi.org/10.1109/iscsic57216.2022.00049openalex-snapshot
A Real time Decision Making Method of Electronic Warfare Based on the Protection of Key Points
inferred← citeshttps://doi.org/10.1109/mipro.2015.7160459openalex-snapshot
Using similarity-based selection in evolutionary design of decision trees
inferred← citeshttps://doi.org/10.1145/3205651.3205774openalex-snapshot
Building boosted classification tree ensemble with genetic programming
inferred← citeshttps://doi.org/10.12785/ijcds/150109openalex-snapshot
Decision Tree Induction Using Evolutionary Algorithms: A Survey
inferred← citeshttps://doi.org/10.14393/ufu.di.2022.239openalex-snapshot
Understanding and predicting interruptions index of medium voltage customers using fully connected networks
inferred← citeshttps://doi.org/10.31219/osf.io/etursopenalex-snapshot
From Guesswork to Game Plan: Exploring Problem-Solving-Strategies in a Machine Learning Game
inferred← citeshttps://doi.org/10.31219/osf.io/ur8wmopenalex-snapshot
From Guesswork to Game Plan: Exploring Problem-Solving-Strategies in a Machine Learning Game
inferred← citeshttps://doi.org/10.4018/978-1-4666-5202-6.ch098openalex-snapshot
Global Induction of Classification and Regression Trees
inferred← citeshttps://doi.org/10.5755/j01.eee.19.6.4578openalex-snapshot
A Multi-Population Genetic Algorithm for Inducing Balanced Decision Trees on Telecommunications Churn Data
inferred← citeshttps://doi.org/10.5772/intechopen.1013390openalex-snapshot
The Math and Science behind Artificial Intelligence: Enhancing Physician Understanding and Application
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.