CAIM discretization algorithm

No abstract is available for this paper.

• Publication year

  2004

• Venue

  IEEE Transactions on Knowledge and Data Engineering

• Publication date

  2004-02-01

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1109/TKDE.2004.1269594
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Γ and B

  2004cited by this paper
• CLIP4: Hybrid inductive machine learning algorithm that generates inequality rules

  2004cited by this paper
• Discretization Algorithm that Uses Class-Attribute Interdependence Maximization

  2003cited by this paper
• Hybrid inductive machine learning: an overview of CLIP algorithms

  2002cited by this paper
• Learning from Inconsistent and Noisy Data: The AQ18 Approach

  1999cited by this paper
• UCI Repository of machine learning databases

  1998cited by this paper
• Data Mining Methods for Knowledge Discovery

  1998cited by this paper
• Feature Selection via Discretization

  1997cited by this paper
• A Bayesian Discretizer for Real-Valued Attributes

  1996cited by this paper
• Compression-Based Discretization of Continuous Attributes

  1995cited by this paper
• Class-Dependent Discretization for Inductive Learning from Continuous and Mixed-Mode Data

  1995influential reference
• Supervised and Unsupervised Discretization of Continuous Features

  1995cited by this paper
• Programs for Machine Learning

  1994cited by this paper
• Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning

  1993influential reference
• C4.5: Programs for Machine Learning

  1992cited by this paper
• ChiMerge: Discretization of Numeric Attributes

  1992influential reference
• On the Handling of Continuous-Valued Attributes in Decision Tree Generation

  1992cited by this paper
• Rule Induction with CN2: Some Recent Improvements

  1991cited by this paper
• Determination of quantization intervals in rule based model for dynamic systems

  1991cited by this paper
• On Changing Continuous Attributes into Ordered Discrete Attributes

  1991cited by this paper
• Information Discovery through Hierarchical Maximum Entropy Discretization and Synthesis

  1991cited by this paper
• The CN2 Induction Algorithm

  1989cited by this paper
• Synthesizing Statistical Knowledge from Incomplete Mixed-Mode Data

  1987cited by this paper
• The Multi-Purpose Incremental Learning System AQ15 and Its Testing Application to Three Medical Domains

  1986cited by this paper
• An Algorithm for Vector Quantizer Design

  1980cited by this paper
• Typicality, Diversity, and Feature Pattern of an Ensemble

  1975cited by this paper
• Pattern Recognition Principles

  1974cited by this paper
• and as an in

  year unknowncited by this paper

• Dynamic programming for the exact pareto front in multi-objective discretization of imbalanced datasets

  2026cites this paper
• The cross-interval reconstruction and heuristic calculation to deal with the continuous-valued attribute in the learning process

  2025cites this paper
• Enhancing Classification Algorithm Accuracy through Hybrid Pre-Processing Strategies

  2025cites this paper
• Multiclass classification of epileptic seizure phases using a novel HFO-based feature extraction model

  2025cites this paper
• How Discretization Affects Software Defect Detection Tasks: An Experimental Study

  2025cites this paper
• A Knowledge-Based Probabilistic Framework for Enhancing Reliability in Healthcare Appointment Scheduling

  2025cites this paper
• Geographic Determination of Pinus ponderosa using DART TOFMS, ICP-MS, and LIBS handheld analyzer

  2025cites this paper
• Applying the WOWA operator for Digital Requirements Prioritization in the Automotive Industry

  2025cites this paper
• An Evaluation of Discretization Techniques for HMM-Based Classifiers

  2025cites this paper
• Jointly Optimizing Data Discretization and Naive Bayes Classifier via Multi-Objective Optimization

  2025influential citation
• Increasing Accessibility of Bayesian Network-Based Defined Approaches for Skin Sensitisation Potency Assessment

  2024cites this paper
• A flexible non-monotonic discretization method for pre-processing in supervised learning

  2024cites this paper
• SuperTAD-Fast: Accelerating Topologically Associating Domains Detection Through Discretization

  2024cites this paper
• A contextual approach to estimate household activities in instrumented dwellings

  2024cites this paper
• Evaluation of geomorphological classification uncertainty using rough set theory: A case study of Shaanxi Province, China

  2024cites this paper
• RETRACTED: Feature selection using fuzzy-neighborhood relative decision entropy with class-level priority fusion

  2023cites this paper
• A Personalized Motion Planning Method with Driver Characteristics in Longitudinal and Lateral Directions

  2023cites this paper
• Early warning of critical transitions in crude oil price

  2023cites this paper
• Supervised discretization of continuous-valued attributes for classification using RACER algorithm

  2023cites this paper
• Machine Learning Classifiers to Detecting Epileptic Seizures

  2023cites this paper
• Feature selection using max dynamic relevancy and min redundancy

  2023cites this paper
• Dynamic interaction-based feature selection algorithm for maximal relevance minimal redundancy

  2022cites this paper
• A Novel Mixed-Attribute Fusion-Based Naive Bayesian Classifier

  2022cites this paper
• GBCD: A Granular-ball Based Discretization Method for Continuous Valued Attributes

  2022cites this paper
• Characterizing the impact of discrete indicators to correct for endogeneity in discrete choice models

  2022cites this paper
• A fast supervised density-based discretization algorithm for classification tasks in the medical domain

  2022cites this paper
• Non-parametric discretization for probabilistic labeled data

  2022cites this paper
• Optimal Granularity Selection for Indoor Localization Detection with Wireless IoT Networks

  2022cites this paper
• A Max-relevance-min-divergence Criterion for Data Discretization with Applications on Naive Bayes

  2022influential citation
• EEG-Based Epileptic Seizure Detection via Machine/Deep Learning Approaches: A Systematic Review

  2022cites this paper
• Comparison of discretization methods for classifier decision trees and decision rules on medical data sets

  2022cites this paper
• A Feature Selection Method Using Dynamic Dependency and Redundancy Analysis

  2022cites this paper
• Symbolic knowledge extraction from opaque ML predictors in PSyKE: Platform design & experiments

  2022cites this paper
• CAIBAL: cluster-attribute interdependency based automatic labeler

  2022cites this paper
• Differential Evolution based Cluster optimization for Multi valued data sets

  2021cites this paper
• A Semi-Supervised Adaptive Discriminative Discretization Method Improving Discrimination Power of Regularized Naive Bayes

  2021influential citation
• A Feature Selection Algorithm Integrating Maximum Classification Information and Minimum Interaction Feature Dependency Information

  2021cites this paper
• A survey on feature selection methods for mixed data

  2021cites this paper
• A multi-criteria approach to evolve sparse neural architectures for stock market forecasting

  2021cites this paper
• On the Design of PSyKE: A Platform for Symbolic Knowledge Extraction

  2021cites this paper
• Feature Selection Methods Based on Symmetric Uncertainty Coefficients and Independent Classification Information

  2021cites this paper
• Classification of colposcopic images using a multi-breakpoints discretization approach on temporal patterns

  2021cites this paper
• Feature selection based on fuzzy-neighborhood relative decision entropy

  2021cites this paper
• A Clinical Decision Support Tool to Find the Best Initial Intravenous Cyclosporine Regimen in Pediatric Hematopoietic Stem Cell Transplantation

  2021cites this paper
• A class of categorization methods for credit scoring models

  2021cites this paper
• Bayesian Rule Modeling for Interpretable Mortality Classification of COVID-19 Patients

  2021influential citation
• An AdaBoost-based tree augmented naive Bayesian classifier for transient stability assessment of power systems

  2021cites this paper
• Discriminative learning of bayesian network parameters by differential evolution

  2021cites this paper
• matFR: a MATLAB toolbox for feature ranking

  2020cites this paper
• A novel discretization algorithm based on multi-scale and information entropy

  2020cites this paper
• An innovative integrated modelling of safety data using multiple correspondence analysis and fuzzy discretization techniques

  2020cites this paper
• Quantitative differences between intra-host HCV populations from persons with recently established and persistent infections

  2020cites this paper
• Identifying novel factors associated with COVID-19 transmission and fatality using the machine learning approach

  2020cites this paper
• A decision support tool to find the best cyclosporine dose when switching from intravenous to oral route in pediatric stem cell transplant patients

  2020cites this paper
• Unsupervised discretization by two-dimensional MDL-based histogram

  2020cites this paper
• Discretization

  2020cites this paper
• The Art of Feature Engineering

  2020cites this paper
• A modified NEFCLASS classifier with enhanced accuracy-interpretability trade-off for datasets with skewed feature values

  2020cites this paper
• A review of epileptic seizure detection using machine learning classifiers

  2020cites this paper
• RLProph: a dynamic programming based reinforcement learning approach for optimal routing in opportunistic IoT networks

  2020cites this paper
• An implementation of a multivariate discretization for supervised learning using Forestdisc

  2020cites this paper
• Data mining techniques to analyze the factors influencing active commuting to school

  2020cites this paper
• Discretisation of conditions in decision rules induced for continuous data

  2020cites this paper
• Feature selection based on information theory to select effective genes for diagnosis of cancer subtypes using microarray data

  2020cites this paper
• An Automated Unsupervised Discretization Method: A Novel Approach

  2020cites this paper
• Reinforcement Learning-Based Genetic Algorithm in Optimizing Multidimensional Data Discretization Scheme

  2020cites this paper
• Multi-Objective Evolutionary approach for the Performance Improvement of Learners using Ensembling Feature selection and Discretization Technique on Medical data

  2020cites this paper
• An end-to-end distance measuring for mixed data based on deep relevance learning

  2020cites this paper
• A Discretization Algorithm Based on Forest Optimization Network and Variable Precision Rough Set

  2020cites this paper
• An Evolutionary Multi-objective Discretization based on Normalized Cut

  2020influential citation
• Discrete Box-Constrained Minimax Classifier for Uncertain and Imbalanced Class Proportions

  2020cites this paper
• Devising Asymmetric Linguistic Hedges to Enhance the Accuracy of NEFCLASS for Datasets with Highly Skewed Feature Values

  2020cites this paper
• A multi-breakpoints approach for symbolic discretization of time series

  2020cites this paper
• Assessing the Effectiveness of Causality Inference Methods for Gene Regulatory Networks

  2020cites this paper
• Developing a framework for classifying water lead levels at private drinking water systems: A Bayesian Belief Network approach.

  2020cites this paper
• Scalable detection of latent patterns across scales -- from nanomagnets to astrophysics

  2019cites this paper
• High-dimensional similarity searches using query driven dynamic quantization and distributed indexing

  2019cites this paper
• A Bayesian Network Model for the Parkinson’s Disease: A Study of Gene Expression Levels

  2019cites this paper
• A DYNAMIC BAYESIAN NETWORK TO PREDICT THE TOTAL POINTS SCORED IN NATIONAL BASKETBALL ASSOCIATION GAMES

  2019cites this paper
• A dynamic Bayesian network to predict the total points scored in national basketball association games

  2019cites this paper
• Discretization of Unlabeled Data using RST & Clustering

  2019cites this paper
• Physically-inspired computational tools for sharp detection of material inhomogeneities in magnetic imaging

  2019cites this paper
• Genetic Algorithm Based Pre-Processing Strategy for High Dimensional Micro-Array Gene Classification

  2019cites this paper
• Uniqueness of Medical Data Mining: How the new technologies and data they generate are transforming medicine

  2019cites this paper
• Minimax Classifier with Box Constraint on the Priors

  2019cites this paper
• Towards a Proposal of Personalized Medical Decision Support Systems: Analysis of Gene Expression Levels of Diabetes Mellitus, Inflammation and Oxidative Stress in Alzheimer's Disease

  2019cites this paper
• Comparison and evaluation of integrative methods for the analysis of multilevel omics data: a study based on simulated and experimental cancer data

  2019cites this paper
• Hybrid model for prediction of heart disease

  2019cites this paper
• A conceptual framework for an affective tutoring system using unobtrusive affect sensing for enhanced tutoring outcomes

  2019cites this paper
• Pre-Processing: A Data Preparation Step

  2019cites this paper
• Supervised non-parametric discretization based on Kernel density estimation

  2019cites this paper
• Data preprocessing in predictive data mining

  2019cites this paper
• lFIT: an unsupervised discretization method based on the Ramer-Douglas-Peucker algorithm

  2019influential citation
• Simultaneous feature selection and discretization based on mutual information

  2019cites this paper
• Continuous Variable Binning Algorithm to Maximize Information Value Using Genetic Algorithm

  2019cites this paper
• Feature selection for the classification of fall-risk in older subjects: a combinational approach using static force-plate measures

  2019cites this paper
• Rule extraction for fatty liver detection using neural networks

  2019cites this paper
• Benchmarking Discretisation Level of Continuous Attributes: Theoretical and Experimental Approaches

  2019influential citation
• A novel quick seizure detection and localization through brain data mining on ECoG dataset

  2018cites this paper
• A REVIEW : DATA PREPROCESSING AND TECHNIQUES OF TEXT MINING

  2018cites this paper