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A distance-based attribute selection measure for decision tree induction

https://doi.org/10.1007/bf00153761
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inferredcites →https://doi.org/10.1023/a:1022645801436openalex-snapshot
An Empirical Comparison of Selection Measures for Decision-Tree Induction

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inferred← citeshttps://doi.org/10.2139/ssrn.2827998openalex-extracted
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inferred← citeshttps://doi.org/10.1002/9780470749555.biblioopenalex-snapshot
Bibliography
inferred← citeshttps://doi.org/10.1002/9781444324044.refsopenalex-snapshot
References
inferred← citeshttps://doi.org/10.1007/11510888_21openalex-snapshot
Feature Selection Method Using Preferences Aggregation
inferred← citeshttps://doi.org/10.1007/3-540-36079-4_1openalex-snapshot
Components for Case-Based Reasoning Systems
inferred← citeshttps://doi.org/10.1007/3-540-44491-2_82openalex-snapshot
A New Methodology to Compare Algorithms
inferred← citeshttps://doi.org/10.1007/3-540-44593-5_31openalex-snapshot
Ensemble Case-Based Reasoning: Collaboration Policies for Multiagent Cooperative CBR
inferred← citeshttps://doi.org/10.1007/3-540-44795-4_2openalex-snapshot
Lazy Induction of Descriptions for Relational Case-Based Learning
inferred← citeshttps://doi.org/10.1007/3-540-45164-1_14openalex-snapshot
Boosting Applied to Word Sense Disambiguation
inferred← citeshttps://doi.org/10.1007/3-540-45164-1_17openalex-snapshot
Investigation and Reduction of Discretization Variance in Decision Tree Induction
inferred← citeshttps://doi.org/10.1007/3-540-45372-5_68openalex-snapshot
Empirical Evaluation of Feature Subset Selection Based on a Real-World Data Set
inferred← citeshttps://doi.org/10.1007/3-540-47887-6_54openalex-snapshot
Cluster-Based Algorithms for Dealing with Missing Values
inferred← citeshttps://doi.org/10.1007/3-540-49795-1_11openalex-snapshot
GD: A Measure Based on Information Theory for Attribute Selection
inferred← citeshttps://doi.org/10.1007/978-1-59745-243-4_17openalex-snapshot
Enzyme Function Prediction with Interpretable Models
inferred← citeshttps://doi.org/10.1007/978-3-319-63346-6_5openalex-snapshot
Algebraically-Based Software Modularization
inferred← citeshttps://doi.org/10.1007/978-3-540-24775-3_23openalex-snapshot
A Metric Approach to Building Decision Trees Based on Goodman-Kruskal Association Index
inferred← citeshttps://doi.org/10.1007/978-3-540-24854-5_85openalex-snapshot
Experimental Evaluation of Discretization Schemes for Rule Induction
inferred← citeshttps://doi.org/10.1007/978-3-540-35488-8_4openalex-snapshot
Filter Methods
inferred← citeshttps://doi.org/10.1007/978-3-540-39906-3_2openalex-snapshot
A General Framework for Induction of Decision Trees under Uncertainty
inferred← citeshttps://doi.org/10.1007/978-3-540-48247-5_66openalex-snapshot
Studying the Behavior of Generalized Entropy in Induction Trees Using a M-of-N Concept
inferred← citeshttps://doi.org/10.1007/978-3-540-72927-3_40openalex-snapshot
Prediction by Categorical Features: Generalization Properties and Application to Feature Ranking
inferred← citeshttps://doi.org/10.1007/978-3-7091-7557-6_72openalex-snapshot
Principal Components and the Accuracy of Machine Learning
inferred← citeshttps://doi.org/10.1007/978-981-10-1536-6_72openalex-snapshot
An Approach for User Interests Extraction Using Decision Tree and Social Network Analysis
inferred← citeshttps://doi.org/10.1007/978-981-13-1513-8_57openalex-snapshot
Study of Classification Techniques on Medical Datasets
inferred← citeshttps://doi.org/10.1007/bf00994659openalex-snapshot
Monotonicity Maintenance in Information-Theoretic Machine Learning Algorithms
inferred← citeshttps://doi.org/10.1007/bfb0026668openalex-snapshot
Part-of-speech tagging using decision trees
inferred← citeshttps://doi.org/10.1007/bfb0035613openalex-snapshot
Some experimental results on learning probabilistic and possibilistic networks with different evaluation measures
inferred← citeshttps://doi.org/10.1016/0165-0114(96)84612-4openalex-snapshot
Classifying through a fuzzy algebraic structure
inferred← citeshttps://doi.org/10.1016/b978-044451379-3/50028-5openalex-snapshot
Learning Graphical Models by Extending Optimal Spanning Trees
inferred← citeshttps://doi.org/10.1016/j.artmed.2010.09.001openalex-snapshot
Classification of melanomas in situ using knowledge discovery with explained case-based reasoning
inferred← citeshttps://doi.org/10.1016/j.cmpb.2010.03.001openalex-snapshot
An intelligent decision support algorithm for diagnosis of colorectal cancer through serum tumor markers
inferred← citeshttps://doi.org/10.1016/j.egypro.2011.11.481openalex-snapshot
Learning the Attribute Selection Measures for Decision Tree
inferred← citeshttps://doi.org/10.1016/j.engappai.2004.03.005openalex-snapshot
Empirical evaluation of feature subset selection based on a real-world data set
inferred← citeshttps://doi.org/10.1016/j.engappai.2008.04.004openalex-snapshot
Using explanations for determining carcinogenecity in chemical compounds
inferred← citeshttps://doi.org/10.1016/j.ins.2003.09.018openalex-snapshot
Building multi-way decision trees with numerical attributes
inferred← citeshttps://doi.org/10.1016/j.neucom.2003.10.011openalex-snapshot
Margin maximization with feed-forward neural networks: a comparative study with SVM and AdaBoost
inferred← citeshttps://doi.org/10.1016/j.patrec.2010.09.012openalex-snapshot
Feature selection using mutual information in CT colonography
inferred← citeshttps://doi.org/10.1016/j.specom.2007.07.004openalex-snapshot
Spoken language annotation and data-driven modelling of phone-level pronunciation in discourse context
inferred← citeshttps://doi.org/10.1016/s0169-023x(02)00062-9openalex-snapshot
On the quest for easy-to-understand splitting rules
inferred← citeshttps://doi.org/10.1016/s0169-023x(97)00053-0openalex-snapshot
Machine learning from examples: Inductive and Lazy methods
inferred← citeshttps://doi.org/10.1023/a:1007367629006openalex-snapshot
An Exact Probability Metric for Decision Tree Splitting and Stopping
inferred← citeshttps://doi.org/10.1023/a:1007673816718openalex-snapshot
A Machine Learning Approach to POS Tagging
inferred← citeshttps://doi.org/10.1023/a:1007674919412openalex-snapshot
General and Efficient Multisplitting of Numerical Attributes
inferred← citeshttps://doi.org/10.1023/a:1007677713969openalex-snapshot
Bottom-Up Induction of Feature Terms
inferred← citeshttps://doi.org/10.1023/a:1016304305535openalex-snapshot
Discretization: An Enabling Technique
inferred← citeshttps://doi.org/10.1023/a:1018295910873openalex-snapshot
Efficient Incremental Induction of Decision Trees
inferred← citeshttps://doi.org/10.1023/a:1022631118932openalex-snapshot
Very Simple Classification Rules Perform Well on Most Commonly Used Datasets
inferred← citeshttps://doi.org/10.1023/a:1022694010754openalex-snapshot
Technical Note: Bias in Information-Based Measures in Decision Tree Induction
inferred← citeshttps://doi.org/10.1109/access.2022.3187172openalex-snapshot
Decision Tree Algorithm Considering Distances Between Classes
inferred← citeshttps://doi.org/10.1109/dsaa.2015.7344863openalex-snapshot
An ensemble of machine learning and anti-learning methods for predicting tumour patient survival rates
inferred← citeshttps://doi.org/10.1109/icalt.2007.144openalex-snapshot
Finding a Fitting Learning Path in E-learning for Juvenile
inferred← citeshttps://doi.org/10.1109/icccnt61001.2024.10724816openalex-snapshot
Predicting DDoS Attacks: A Machine Learning Approach using ALDDoS Dataset
inferred← citeshttps://doi.org/10.1109/icicv62344.2024.00009openalex-snapshot
English Pronunciation Transformation Text Model Based on Decision Tree Pattern Recognition Algorithm
inferred← citeshttps://doi.org/10.1109/tit.2023.3260122openalex-snapshot
Optimal Randomized Approximations for Matrix-Based Rényi’s Entropy
inferred← citeshttps://doi.org/10.1109/tits.2021.3137446openalex-snapshot
Real-Time Prediction System of Train Carriage Load Based on Multi-Stream Fuzzy Learning
inferred← citeshttps://doi.org/10.1111/j.1538-4632.2000.tb00431.xopenalex-snapshot
Using Decision Tree Induction Systems for Modeling Space‐Time Behavior
inferred← citeshttps://doi.org/10.1111/j.1540-5915.1998.tb00880.xopenalex-snapshot
Inductive, Evolutionary, and Neural Computing Techniques for Discrimination: A Comparative Study*
inferred← citeshttps://doi.org/10.1117/12.2021251openalex-snapshot
Learning the attribute selection measures for decision tree
inferred← citeshttps://doi.org/10.1137/1.9781611972825.51openalex-snapshot
Mining Massive Archives of Mice Sounds with Symbolized Representations
inferred← citeshttps://doi.org/10.11606/t.55.2013.tde-21032014-144814openalex-snapshot
On the automatic design of decision-tree induction algorithms
inferred← citeshttps://doi.org/10.11606/t.55.2017.tde-07022017-163412openalex-snapshot
A computer-assisted approach to supporting taxonomical classification of freshwater green microalga images
inferred← citeshttps://doi.org/10.15587/1729-4061.2020.219525openalex-snapshot
Classification models of flood-related events based on algorithm trees
inferred← citeshttps://doi.org/10.15588/1607-3274-2019-1-12openalex-snapshot
DECISION TREE CONSTRUCTION FOR THE CASE OF LOW-INFORMATIVE FEATURES
inferred← citeshttps://doi.org/10.15588/1607-3274-2021-3-10openalex-snapshot
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inferred← citeshttps://doi.org/10.1613/jair.276openalex-snapshot
Iterative Optimization and Simplification of Hierarchical Clusterings
inferred← citeshttps://doi.org/10.17533/udea.redin.14223openalex-snapshot
Expert knowledge-guided feature selection for data-based industrial process monitoring
inferred← citeshttps://doi.org/10.20868/upm.thesis.397openalex-snapshot
Inducción de conocimiento con incertidumbre en bases de datos relacionales borrosas
inferred← citeshttps://doi.org/10.21437/speechprosody.2010-276openalex-snapshot
Automatic prominence classification in Swedish
inferred← citeshttps://doi.org/10.22266/ijies2016.0630.03openalex-snapshot
Mining Big Data Using Modified Induction Tree Approach
inferred← citeshttps://doi.org/10.23939/ujit2021.03.022openalex-snapshot
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inferred← citeshttps://doi.org/10.24294/jipd9871openalex-snapshot
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inferred← citeshttps://doi.org/10.25140/2411-5363-2020-4(22)-72-90openalex-snapshot
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inferred← citeshttps://doi.org/10.2991/iske.2007.258openalex-snapshot
Construction of Decision Trees based Entropy and Rough Sets under Tolerance Relation
inferred← citeshttps://doi.org/10.3115/1075096.1075134openalex-snapshot
Self-organizing Markov models and their application to part-of-speech tagging
inferred← citeshttps://doi.org/10.3115/976909.979648openalex-snapshot
A flexible POS tagger using an automatically acquired language model
inferred← citeshttps://doi.org/10.3115/979617.979648openalex-snapshot
A flexible POS tagger using an automatically acquired language model
inferred← citeshttps://doi.org/10.31673/2412-4338.2020.035566openalex-snapshot
Estimation of the complexity of constructing a logical classification tree for an arbitrary case in conditions of strong class separation of the initial training sample
inferred← citeshttps://doi.org/10.32782/cmis/2353-76openalex-snapshot
A Random Forest Model Building Using A priori Information for Diagnosis
inferred← citeshttps://doi.org/10.32782/cmis/2608-63openalex-snapshot
A constrained method of constructing the logic classification trees on the basis of elementary attribute selection
inferred← citeshttps://doi.org/10.32782/cmis/3137-1openalex-snapshot
The Problem of Convergence of Classifiers Construction Procedure in the Schemes of Logical and Algorithmic Classification Trees
inferred← citeshttps://doi.org/10.38094/jastt20165openalex-snapshot
Classification Based on Decision Tree Algorithm for Machine Learning
inferred← citeshttps://doi.org/10.4018/978-1-4666-6639-9.ch012openalex-snapshot
Risk Prediction Model for Osteoporosis Disease Based on a Reduced Set of Factors
inferred← citeshttps://doi.org/10.4018/978-1-5225-8185-7.ch006openalex-snapshot
Heart Disease Diagnosis Using Fuzzy Supervised Learning Based on Dynamic Reduced Features
inferred← citeshttps://doi.org/10.4018/ijehmc.2014070106openalex-snapshot
Heart Disease Diagnosis Using Fuzzy Supervised Learning Based on Dynamic Reduced Features
inferred← citeshttps://doi.org/10.4108/eai.16-5-2020.2303953openalex-snapshot
Support Vector Machine based Breast Cancer Classification using Next Generation Sequences
inferred← citeshttps://doi.org/10.5120/7541-0482openalex-snapshot
Real Time and Offline Network Intrusion Detection using Improved Decision Tree Algorithm
inferred← citeshttps://doi.org/10.55630/sjc.2013.7.355-374openalex-snapshot
A Distance-Based Method for Attribute Reduction in Incomplete Decision Systems
inferred← citeshttps://doi.org/10.5821/dissertation-2117-93823openalex-snapshot
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inferred← citeshttps://doi.org/10.5821/dissertation-2117-93955openalex-snapshot
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