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Rule Quality Measures in Creation and Reduction of Data Rule Models

https://doi.org/10.1007/11908029_74
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What this work says

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

inferredcites →https://doi.org/10.1007/11548669_33openalex-snapshot
Rough Membership and Bayesian Confirmation Measures for Parameterized Rough Sets
inferredcites →https://doi.org/10.1007/978-3-540-48247-5_21openalex-snapshot
Taming Large Rule Models in Rough Set Approaches
inferredcites →https://doi.org/10.1007/978-94-015-7975-9_1openalex-snapshot
LERS-A System for Learning from Examples Based on Rough Sets
inferredcites →https://doi.org/10.1016/j.engappai.2004.04.008openalex-snapshot
Can Bayesian confirmation measures be useful for rough set decision rules?
inferredcites →https://doi.org/10.1111/0824-7935.00154openalex-snapshot
Rule Quality Measures for Rule Induction Systems: Description and Evaluation
inferredcites →https://doi.org/10.1145/312129.312219openalex-snapshot
Mining the most interesting rules
inferredcites →https://doi.org/10.13021/mars/3550openalex-snapshot
Learning in an Inconsistent World: Rule Selection in AQ18
inferredcites →https://doi.org/10.2307/2670132openalex-snapshot
Machine Learning and Statistics: The Interface
inferredcites →https://doi.org/10.3233/fi-1996-272311openalex-snapshot
TOLERANCE APPROXIMATION SPACES

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-030-02357-7_2openalex-snapshot
Weighting Attributes and Decision Rules Through Rankings and Discretisation Parameters
inferred← citeshttps://doi.org/10.1007/978-3-319-67588-6_7openalex-snapshot
Ranking-Based Rule Classifier Optimisation
inferred← citeshttps://doi.org/10.1007/978-3-540-89876-4_9openalex-snapshot
Decision Rule Based Data Models Using NetTRS System Overview
inferred← citeshttps://doi.org/10.1007/978-3-642-00563-3_14openalex-snapshot
Fuzzy Clustering and Gene Ontology Based Decision Rules for Identification and Description of Gene Groups
inferred← citeshttps://doi.org/10.1007/978-3-642-11479-3_8openalex-snapshot
Decision Rule-Based Data Models Using TRS and NetTRS – Methods and Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-642-21881-1_44openalex-snapshot
Data-Driven Adaptive Selection of Rules Quality Measures for Improving the Rules Induction Algorithm
inferred← citeshttps://doi.org/10.1007/978-3-642-33185-5_18openalex-snapshot
Rule Quality Measure-Based Induction of Unordered Sets of Regression Rules
inferred← citeshttps://doi.org/10.1007/978-3-642-35455-7_26openalex-snapshot
Algorithms for Filtration of Unordered Sets of Regression Rules
inferred← citeshttps://doi.org/10.1007/978-3-662-45620-0_3openalex-snapshot
Feature Evaluation by Filter, Wrapper, and Embedded Approaches
inferred← citeshttps://doi.org/10.1007/978-3-662-45620-0_5openalex-snapshot
Weighting of Features by Sequential Selection
inferred← citeshttps://doi.org/10.1007/s00521-014-1620-2openalex-snapshot
Ranking of characteristic features in combined wrapper approaches to selection
inferred← citeshttps://doi.org/10.1016/j.autcon.2016.03.015openalex-snapshot
Metaheuristic optimization within machine learning-based classification system for early warnings related to geotechnical problems
inferred← citeshttps://doi.org/10.1016/j.patrec.2010.08.011openalex-snapshot
Induction and selection of the most interesting Gene Ontology based multiattribute rules for descriptions of gene groups
inferred← citeshttps://doi.org/10.1080/03081079.2013.798901openalex-snapshot
Data-driven adaptive selection of rule quality measures for improving rule induction and filtration algorithms
inferred← citeshttps://doi.org/10.1109/tpwrd.2010.2055587openalex-snapshot
Knowledge Discovery in Distance Relay Event Report: A Comparative Data-Mining Strategy of Rough Set Theory With Decision Tree
inferred← citeshttps://doi.org/10.15439/2015f388openalex-snapshot
Rule Quality Measures Settings in a Sequential Covering Rule Induction Algorithm - an Empirical Approach
inferred← citeshttps://doi.org/10.21936/si2013_v34.n2b.71openalex-snapshot
Program do indukcji i oceny reguł klasyfikacyjnych, zintegrowany z pakietem R
inferred← citeshttps://doi.org/10.2478/v10006-010-0041-3openalex-snapshot
Quality improvement of rule-based gene group descriptions using information about GO terms importance occurring in premises of determined rules
inferred← citeshttps://doi.org/10.3233/fi-2013-805openalex-snapshot
CHIRA—Convex Hull Based Iterative Algorithm of Rules Aggregation
inferred← citeshttps://doi.org/10.3233/ifs-2012-0564openalex-snapshot
Decision rule length as a basis for evaluation of attribute relevance
inferred← citeshttps://doi.org/10.3414/me13-01-0046openalex-snapshot
Censoring Weighted Separate-and-Conquer Rule Induction from Survival Data
inferred← citeshttps://doi.org/10.5220/0003089702160225openalex-snapshot
AN ALGORITHM FOR DECISION RULES AGGREGATION
inferred← citeshttps://doi.org/10.70675/d01fdba5z16efz4fa0z888bz464f63435445openalex-snapshot
Semantic technologies for the modeling of predictive maintenance for a SME network in the framework of industry 4.0
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