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Association Rule Mining for Continuous Attributes using Genetic Network Programming
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-46027-6openalex-snapshot
Association Rule Mining: Models and Algorithms
inferredcites →https://doi.org/10.1007/bf00994007openalex-snapshot
On the Handling of Continuous-Valued Attributes in Decision Tree Generation
inferredcites →https://doi.org/10.1007/bfb0017012openalex-snapshot
On changing continuous attributes into ordered discrete attributes
inferredcites →https://doi.org/10.1016/b978-1-55860-377-6.50032-3openalex-snapshot
Supervised and Unsupervised Discretization of Continuous Features
inferredcites →https://doi.org/10.1016/b978-1-55860-377-6.50063-3openalex-snapshot
Compression-Based Discretization of Continuous Attributes
inferredcites →https://doi.org/10.1109/34.391407openalex-snapshot
Class-dependent discretization for inductive learning from continuous and mixed-mode data
inferredcites →https://doi.org/10.1109/69.250074openalex-snapshot
Database mining: a performance perspective
inferredcites →https://doi.org/10.1109/69.617056openalex-snapshot
Feature selection via discretization
inferredcites →https://doi.org/10.1109/cec.2001.934337openalex-snapshot
Comparison between Genetic Network Programming (GNP) and Genetic Programming (GP)
inferredcites →https://doi.org/10.1109/icsmc.2006.385157openalex-snapshot
Class Association Rule Mining with Chi-Squared Test Using Genetic Network Programming
inferredcites →https://doi.org/10.1109/tevc.2002.806857openalex-snapshot
Inducing oblique decision trees with evolutionary algorithms
inferredcites →https://doi.org/10.1109/tpami.1987.4767986openalex-snapshot
Synthesizing Statistical Knowledge from Incomplete Mixed-Mode Data
inferredcites →https://doi.org/10.1109/tsmcb.2005.856720openalex-snapshot
A study of evolutionary multiagent models based on symbiosis
inferredcites →https://doi.org/10.1145/170035.170072openalex-snapshot
Mining association rules between sets of items in large databases
inferredcites →https://doi.org/10.1162/evco.2007.15.3.369openalex-snapshot
A Graph-Based Evolutionary Algorithm: Genetic Network Programming (GNP) and Its Extension Using Reinforcement Learning
inferredcites →https://doi.org/10.20965/jaciii.2006.p0102openalex-snapshot
Genetic Network Programming with Acquisition Mechanisms of Association Rules
inferredcites →https://doi.org/10.5555/140629.140633openalex-snapshot
Knowledge discovery in databases
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/tee.21847openalex-snapshot
Robust intelligent PCA‐based face recognition framework using GNP‐fuzzy data mining
inferred← citeshttps://doi.org/10.1002/tee.21985openalex-snapshot
Acquisition of optimal attribute subset through genetic algorithm using GNP-based class association rule mining
inferred← citeshttps://doi.org/10.1007/978-3-030-72812-0_16openalex-snapshot
Mining Feature Relationships in Data
inferred← citeshttps://doi.org/10.1007/978-981-33-4370-2_1openalex-snapshot
On the Potential of Numerical Association Rule Mining
inferred← citeshttps://doi.org/10.1007/s42979-021-00725-2openalex-snapshot
A Systematic Assessment of Numerical Association Rule Mining Methods
inferred← citeshttps://doi.org/10.1016/j.asoc.2017.08.043openalex-snapshot
Improving the robustness of GNP-PCA using the multiagent system
inferred← citeshttps://doi.org/10.1016/j.ins.2020.02.073openalex-snapshot
A survey of evolutionary computation for association rule mining
inferred← citeshttps://doi.org/10.1109/cec.2009.4983034openalex-snapshot
Genetic Network Programming with Reconstructed Individuals
inferred← citeshttps://doi.org/10.1109/cec.2010.5586456openalex-snapshot
Genetic Network Programming with Estimation of Distribution Algorithms for class association rule mining in traffic prediction
inferred← citeshttps://doi.org/10.1109/icsmc.2010.5642337openalex-snapshot
Genetic Network Programming with new genetic operators
inferred← citeshttps://doi.org/10.1109/icsmc.2011.6083735openalex-snapshot
A supervised learning framework for PCA-based face recognition using GNP fuzzy data mining
inferred← citeshttps://doi.org/10.1109/ictai52525.2021.00163openalex-snapshot
Evolutionary Method for Two-dimensional Associative Local Distribution Rule Mining
inferred← citeshttps://doi.org/10.1109/pdgc.2012.6449904openalex-snapshot
Detection of intrusion using evolutionary soft computing techniques
inferred← citeshttps://doi.org/10.1109/tencon.2010.5686115openalex-snapshot
Genetic network programming with route nodes
inferred← citeshttps://doi.org/10.1109/tnnls.2016.2536104openalex-snapshot
Co-Operative Coevolutionary Neural Networks for Mining Functional Association Rules
inferred← citeshttps://doi.org/10.1162/evco.2007.15.3.369openalex-snapshot
A Graph-Based Evolutionary Algorithm: Genetic Network Programming (GNP) and Its Extension Using Reinforcement Learning
inferred← citeshttps://doi.org/10.20965/jaciii.2012.p0851openalex-snapshot
An Explicit Memory Scheme of Genetic Network Programming
inferred← citeshttps://doi.org/10.24200/sci.2019.51030.1969openalex-snapshot
A Genetic Algorithm based framework for mining quantitative association rules without specifying minimum support and minimum confidence
inferred← citeshttps://doi.org/10.26686/wgtn.14456337openalex-snapshot
Mining Feature Relationships in Data
inferred← citeshttps://doi.org/10.26686/wgtn.14456337.v1openalex-snapshot
Mining Feature Relationships in Data
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