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Rule induction with CN2: Some recent improvements
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inferred← citeshttps://doi.org/10.1002/1098-111x(200101)16:1<29::aid-int4>3.0.co;2-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/tee.20668openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-63223-5_12openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-319-00557-7_48openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-319-07491-7_6openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-540-48247-5_11openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-540-75197-7_2openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-540-78604-7_7openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-540-87608-3_18openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-540-88045-5_3openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-642-01091-0_11openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-642-02541-9_6openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-642-05177-7_13openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-642-10781-8_22openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-642-25507-6_14openalex-snapshot
Application of Ant Colony Algorithm for Classification and Rule Generation of Data
inferred← citeshttps://doi.org/10.1007/978-3-642-27157-1_4openalex-snapshot
CAIG: Classification Based on Attribute-Value Pair Integrate Gain
inferred← citeshttps://doi.org/10.1007/978-3-642-28931-6_49openalex-snapshot
Modifications of Classification Strategies in Rule Set Based Bagging for Imbalanced Data
inferred← citeshttps://doi.org/10.1007/978-3-642-30353-1_3openalex-snapshot
Efficient Pairwise Classification Using Local Cross Off Strategy
inferred← citeshttps://doi.org/10.1007/978-3-642-32639-4_9openalex-snapshot
Interestingness Measures for Fixed Consequent Rules
inferred← citeshttps://doi.org/10.1007/978-3-642-33460-3_58openalex-snapshot
Handling Time Changing Data with Adaptive Very Fast Decision Rules
inferred← citeshttps://doi.org/10.1007/978-3-642-37169-1_22openalex-snapshot
Diatom Indicating Property Discovery with Rule Induction Algorithm
inferred← citeshttps://doi.org/10.1007/978-3-642-38824-8_49openalex-snapshot
A Framework for Employee Appraisals Based on Inductive Logic Programming and Data Mining Methods
inferred← citeshttps://doi.org/10.1007/978-3-642-39712-7_16openalex-snapshot
Preceding Rule Induction with Instance Reduction Methods
inferred← citeshttps://doi.org/10.1007/978-3-642-40897-7_4openalex-snapshot
Avoiding Anomalies in Data Stream Learning
inferred← citeshttps://doi.org/10.1007/978-3-642-41822-8_18openalex-snapshot
Dynamic K: A Novel Satisfaction Mechanism for CAR-Based Classifiers
inferred← citeshttps://doi.org/10.1007/978-3-642-78073-8_14openalex-snapshot
Maschinelle Lernverfahren als Unterstützung beim Wissenserwerb von Diagnose-Expertensystemen
inferred← citeshttps://doi.org/10.1007/978-3-662-04599-2_1openalex-snapshot
Data Mining in a Nutshell
inferred← citeshttps://doi.org/10.1007/978-3-662-04599-2_10openalex-snapshot
How to Upgrade Propositional Learners to First Order Logic: A Case Study
inferred← citeshttps://doi.org/10.1007/978-3-662-04599-2_11openalex-snapshot
Propositionalization Approaches to Relational Data Mining
inferred← citeshttps://doi.org/10.1007/978-3-662-04599-2_14openalex-snapshot
Relational Data Mining Applications: An Overview
inferred← citeshttps://doi.org/10.1007/978-3-662-04599-2_3openalex-snapshot
An Introduction to Inductive Logic Programming
inferred← citeshttps://doi.org/10.1007/978-3-662-04599-2_5openalex-snapshot
Three Companions for Data Mining in First Order Logic
inferred← citeshttps://doi.org/10.1007/978-3-662-44845-8_8openalex-snapshot
Separating Rule Refinement and Rule Selection Heuristics in Inductive Rule Learning
inferred← citeshttps://doi.org/10.1007/978-3-7908-1788-1_2openalex-snapshot
Computational Intelligence Techniques in Medical Decision Making: the Data Mining Perspective
inferred← citeshttps://doi.org/10.1007/978-3-7908-1803-1_10openalex-snapshot
Hybrid Inductive Machine Learning: An Overview of CLIP Algorithms
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