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Multi-interval discretization methods for decision tree learning

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What this work says

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

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Knowledge acquisition by symbolic decision tree induction for interpretation of digital images in radiology
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Self-Organizing Maps
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Induction of Decision Trees
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Automatic classification of cervical cells using a binary tree classifier
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Supervised and Unsupervised Discretization of Continuous Features
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Classification and Regression Trees.
inferredcites →https://doi.org/10.2307/2530946openalex-snapshot
Classification and Regression Trees.

What points at this work

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

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Khiops: A Discretization Method of Continuous Attributes with Guaranteed Resistance to Noise
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Classification of HEp-2 Cells Using Fluorescent Image Analysis and Data Mining
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Decision Tree Induction Methods and Their Application to Big Data
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Discretization
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Evaluation of Outcome Prediction for a Clinical Diabetes Database
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Discretization Numbers for Multiple-Instances Problem in Relational Database
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An Intelligent Memory Model for Short-Term Prediction: An Application to Global Solar Radiation Data
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Discretization for naive-Bayes learning: managing discretization bias and variance
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The impact of R&D collaboration on innovative performance in Korea: A Bayesian network approach
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Intelligent data analysis in medicine—Recent advances
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Relaxing instance boundaries for the search of splitting points of numerical attributes in classification trees
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Region-based image retrieval with high-level semantics using decision tree learning
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A comparison between neural networks and decision trees based on data from industrial radiographic testing
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Mining knowledge for HEp-2 cell image classification
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Instance-Based Discovery of ItemSBs Leveraging Individuality Through Discretization
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WAIRS: improving classification accuracy by weighting attributes in the AIRS classifier
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Building a new taxonomy for data discretization techniques
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Discretized data pattern in endoscopic gastritis images using dynamic window and pairwise gini criterion
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An optimized LVQ algorithm for multi-interval discretization of continuous values
inferred← citeshttps://doi.org/10.1109/iccitechn.2011.6164874openalex-snapshot
Improve the quality of supervised discretization of continuous valued attributes in data mining
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Context-Aware Local Information Privacy
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A Survey of Discretization Techniques: Taxonomy and Empirical Analysis in Supervised Learning
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GBCD: A Granular-ball Based Discretization Method for Continuous Valued Attributes
inferred← citeshttps://doi.org/10.1111/coin.12153openalex-snapshot
Improving evolutionary decision tree induction with multi‐interval discretization
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Data-Driven Decision Tree Classification for Product Portfolio Design Optimization
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Online Discretization of Continuous-Valued Attributes in Rule Induction
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Investigation of artificial immune systems and variable selection techniques for credit scoring
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Machine Learning in Studying the Organism’s Functional State of Clinically Healthy Individuals Depending on Their Immune Reactivity
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Machine Learning in Studying the Organism’s Functional State of Clinically Healthy Individuals Depending on Their Immune Reactivity
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Mining Complex Data Streams: Discretization, Attribute Selection and Classification
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A Suitability Study of Discretization Methods for Associative Classifiers
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Contributions to decision tree based learning
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