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Relevancy in Constraint-Based Subgroup Discovery

https://doi.org/10.1007/11615576_12
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Principles of Data Mining and Knowledge Discovery
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Geography of Di.erences between Two Classes of Data
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Machine Learning: ECML-94
inferredcites →https://doi.org/10.1007/3-540-57868-4_57openalex-snapshot
Estimating attributes: Analysis and extensions of RELIEF
inferredcites →https://doi.org/10.1007/3-540-63223-9_108openalex-snapshot
An algorithm for multi-relational discovery of subgroups
inferredcites →https://doi.org/10.1007/978-1-4615-5689-3openalex-snapshot
Feature Selection for Knowledge Discovery and Data Mining
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The CN2 Induction Algorithm
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On the Handling of Continuous-Valued Attributes in Decision Tree Generation
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A theory and methodology of inductive learning
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A THEORY AND METHODOLOGY OF INDUCTIVE LEARNING
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A Practical Approach to Feature Selection
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Constructive Induction Using a Non-Greedy Strategy for Feature Selection
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Induction of comprehensible models for gene expression datasets by subgroup discovery methodology
inferredcites →https://doi.org/10.1016/s0004-3702(97)00043-xopenalex-snapshot
Wrappers for feature subset selection
inferredcites →https://doi.org/10.1016/s0743-1066(99)00019-9openalex-snapshot
A study of relevance for learning in deductive databases
inferredcites →https://doi.org/10.1016/s0898-1221(96)90007-3openalex-snapshot
Advances in knowledge discovery and data mining
inferredcites →https://doi.org/10.1023/a:1007601015854openalex-snapshot
Robust Classification for Imprecise Environments
inferredcites →https://doi.org/10.1023/a:1009796218281openalex-snapshot
Levelwise Search and Borders of Theories in Knowledge Discovery
inferredcites →https://doi.org/10.1073/pnas.211566398openalex-snapshot
Multiclass cancer diagnosis using tumor gene expression signatures
inferredcites →https://doi.org/10.1109/5254.671092openalex-snapshot
A relevancy filter for constructive induction
inferredcites →https://doi.org/10.1109/64.539013openalex-snapshot
Data mining and knowledge discovery: making sense out of data
inferredcites →https://doi.org/10.1109/icde.1999.754924openalex-snapshot
Constraint-based rule mining in large, dense databases
inferredcites →https://doi.org/10.1142/s0218001496000530openalex-snapshot
COMPARISON OF VARIOUS ROUTINES FOR UNKNOWN ATTRIBUTE VALUE PROCESSING: THE COVERING PARADIGM
inferredcites →https://doi.org/10.1145/335168.335226openalex-snapshot
Transversing itemset lattices with statistical metric pruning
inferredcites →https://doi.org/10.1145/772862.772863openalex-snapshot
Data mining, national security, privacy and civil liberties
inferredcites →https://doi.org/10.1613/jair.1089openalex-snapshot
Expert-Guided Subgroup Discovery: Methodology and Application

What points at this work

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

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Explaining Deviating Subsets Through Explanation Networks
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Feature Selection in Taxonomies with Applications to Paleontology
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Handling Unknown and Imprecise Attribute Values in Propositional Rule Learning: A Feature-Based Approach
inferred← citeshttps://doi.org/10.1007/978-3-642-16184-1_5openalex-snapshot
Subgroup Discovery for Election Analysis: A Case Study in Descriptive Data Mining
inferred← citeshttps://doi.org/10.1007/978-3-642-23780-5_44openalex-snapshot
Fast and Memory-Efficient Discovery of the Top-k Relevant Subgroups in a Reduced Candidate Space
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A Bayesian Scoring Technique for Mining Predictive and Non-Spurious Rules
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Descriptive Modeling of Systemic Banking Crises
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A Relevance Criterion for Sequential Patterns
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One in a million: picking the right patterns
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On subgroup discovery in numerical domains
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For real: a thorough look at numeric attributes in subgroup discovery
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A Novel Pruning Strategy for Mining Discriminative Patterns
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Conditional discriminative pattern mining: Concepts and algorithms
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Subgroups: A Python library for Subgroup Discovery
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Gene Expression Data Analysis Using Closed Itemset Mining for Labeled Data
inferred← citeshttps://doi.org/10.1109/icdm.2007.85openalex-snapshot
The Chosen Few: On Identifying Valuable Patterns
inferred← citeshttps://doi.org/10.1109/icdm.2013.92openalex-snapshot
Dominance Programming for Itemset Mining
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Thorough Analysis of Log Data with Dependency Rules: Practical Solutions and Theoretical Challenges
inferred← citeshttps://doi.org/10.1109/iwcia47330.2019.8955045openalex-snapshot
On Term Similarity Measures for Short Text Classification
inferred← citeshttps://doi.org/10.1137/1.9781611972825.25openalex-snapshot
Class Relevant Pattern Mining in Output-Polynomial Time
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An enhanced relevance criterion for more concise supervised pattern discovery
inferred← citeshttps://doi.org/10.23919/ccc55666.2022.9902132openalex-snapshot
ReliefSD: Selecting Numerical Features for Fast Subgroup Discovery
inferred← citeshttps://doi.org/10.48550/arxiv.1709.03267openalex-snapshot
Mining relevant interval rules
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Closed Sets for Labeled Data
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Exceptional model mining meets multi-objective optimization : Application to plant growth recipes in controlled environments
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