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On changing continuous attributes into ordered discrete attributes
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Outgoing claims: the papers this work cites, builds on, or argues with.
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LEARNING EFFICIENT CLASSIFICATION PROCEDURES AND THEIR APPLICATION TO CHESS END GAMES
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Classifier Systems and the Animat Problem
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Machine learning: An artificial intelligence approach
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DECISION TREES AS PROBABILISTIC CLASSIFIERS
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Experiments on the Costs and Benefits of Windowing in ID3
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ID5: An Incremental ID3
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UNKNOWN ATTRIBUTE VALUES IN INDUCTION
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REPRESENTATIONAL ISSUES IN MACHINE LEARNING
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COMPARING SYSTEMS AND ANALYZING FUNCTIONS TO IMPROVE CONSTRUCTIVE INDUCTION
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Simplifying decision trees
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Real-time detection of ischemic ECG changes using quasi-orthogonal leads and artificial intelligence
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Assessing Credit Card Applications Using Machine Learning
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Synthesizing Statistical Knowledge from Incomplete Mixed-Mode Data
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Appendix A: Probability Theory
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Don't care values in induction
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Interfacing knowledge discovery algorithms to large database management systems
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Data mining pest, pesticide and metrological data
inferred← citeshttps://doi.org/10.1017/cbo9780511812651openalex-snapshot
Pattern Recognition and Neural Networks
inferred← citeshttps://doi.org/10.1017/s0269888900007906openalex-snapshot
An integrated approach for different attribute types in nearest neighbour classification
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Discretization as the enabling technique for the Naïve Bayes and semi-Naïve Bayes-based classification
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Simplifying decision trees: A survey
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Rapid development of knowledge-based systems via integrated knowledge acquisition
inferred← citeshttps://doi.org/10.1023/a:1006504622008openalex-snapshot
Discretisation in Lazy Learning Algorithms
inferred← citeshttps://doi.org/10.1023/a:1007626017208openalex-snapshot
Constructing X-of-N Attributes for Decision Tree Learning
inferred← citeshttps://doi.org/10.1023/a:1007674919412openalex-snapshot
General and Efficient Multisplitting of Numerical Attributes
inferred← citeshttps://doi.org/10.1023/a:1008339026836openalex-snapshot
Discretisation of Continuous Commercial Database Features for a Simulated Annealing Data Mining Algorithm
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RainForest—A Framework for Fast Decision Tree Construction of Large Datasets
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Discretization: An Enabling Technique
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Very Simple Classification Rules Perform Well on Most Commonly Used Datasets
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Meta-Learner for Unknown Attribute Values Processing: Dealing with Inconsistency of Meta-Databases
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Efficient Multisplitting Revisited: Optima-Preserving Elimination of Partition Candidates
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Khiops: A Statistical Discretization Method of Continuous Attributes
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Data mining in retail banking: A case study of branch classification
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HDD: a hypercube division-based algorithm for discretisation
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Bayesian Multi‐net Classifier for classification of remote sensing data
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Inferring gene regulatory networks by an order independent algorithm using incomplete data sets
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Logistic regression model with TreeNet and association rules analysis: applications with medical datasets
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INDUCTIVE AND BAYESIAN LEARNING IN MEDICAL DIAGNOSIS
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CAN MACHINE LEARNING SOLVE MY PROBLEM?
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INDUSTRIAL EXPERT SYSTEM ACQUIRED BY MACHINE LEARNING
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Benchmarking time-series data discretization on inference methods
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Feature Selection in Genetic Fuzzy Discretization for the Pattern Classification Problems
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Multi‐level decomposition of probabilistic relations
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An e-healthcare system for disease prediction using hybrid data mining technique
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Class-dependent discretization for inductive learning from continuous and mixed-mode data
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Feature selection via discretization
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Fuzzy interpretation of discretized intervals
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Clustering Analysis for Automatic Certification of LMS Strategies in a University Virtual Campus
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A Modern Cyclic Approach to Solve a Classification Problem in Cloud Environment
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Supervised multivariate discretization in mixed data with Random Forests
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Study on Comparison of Discretization Methods
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Comparison of Co-temporal Modeling Algorithms on Sparse Experimental Time Series Data Sets
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Using the machine learning approach to predict patient survival from high-dimensional survival data
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Improved microarray data analysis using feature selection methods with machine learning methods
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Benchmarking Discretisation Level of Continuous Attributes: Theoretical and Experimental Approaches
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