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This two-volume set LNAI 14839-14840 constitutes the refereed proceedings of the International Joint Conference on Rough Sets, IJCRS 2024, held in Halifax, NS, Canada, during May 17-20, 2024. The 43 full papers included in this book were carefully reviewed and selected from 56 submissions. They are organized in topical sections as follows: Part I: Rough Set Models and Foundations; Rule Induction and Machine Learning; Granular Computing; and Rough Set Applications. Part II: Three-Way Decision and Rough Sets; Three-Way Decision in Data Analytics; Three-Way Decision in Broad Senses;…mehr
This two-volume set LNAI 14839-14840 constitutes the refereed proceedings of the International Joint Conference on Rough Sets, IJCRS 2024, held in Halifax, NS, Canada, during May 17-20, 2024.
The 43 full papers included in this book were carefully reviewed and selected from 56 submissions. They are organized in topical sections as follows:
Part I: Rough Set Models and Foundations; Rule Induction and Machine Learning; Granular Computing; and Rough Set Applications.
Part II: Three-Way Decision and Rough Sets; Three-Way Decision in Data Analytics; Three-Way Decision in Broad Senses; Rental Market Data Mining; and Applications of Deep Learning and Soft Computing.
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Inhaltsangabe
.- Rough Set Models and Foundations. .- Mapper-Based Rough Sets. .- On Tolerance-based Rough Set Operators and Their Covering Generalizations. .- Parametrized Gamma-Decision Valuation for Variable Precision Rough Set Model. .- Rough Algebraic Semantics of Concepts in Distributed Cognition Perspective. .- Description logic for rough concepts. .- Rule Induction and Machine Learning. .- Greedy Algorithm for Construction of Deterministic Decision Trees for Conventional Decision Tables from Closed Classes. .- Study of Dependency Degree and Bayesian Networks for Conflict Scenarios. .- Consideration of Detecting Data and Functional Dependency in Tabular Data with Missing Values by the Obtained Rules.. .- Distance-Based Fuzzy-Rough Sets and Their Application To The Classification Problem. .- Dealing with Missing Values Meaning Unknown in Probabilistic Approximations. .- On Complexity of Deterministic and Nondeterministic Decision Trees for Decision Tables with Many-valued Decisions from Closed Classes. .- Simulating Functioning of Decision Trees for Tasks on Decision Rule Systems. .- RIONIDA: A Novel Algorithm for Imbalanced Data Combining Instance-Based Learning and Rule Induction. .- Granular Computing. .- Information System in the Light of Interactive Granular Computing. .- GBTWSVM: Granular-ball Twin Support Vector Machine. .- Fuzzy Granular-balls based Spectral Clustering. .- A Vector Is a Granule: A Novel Extension of the Variable Precision Rough Set Model. .- Rough Set Applications. .- Cross-Weighting Knowledge Distillation for Object Detection. .- A Method of Multi-USV Reward Design Using Fuzzy Control. .- Hyp-DAN: Hyperbolic Distance-aware Attention Networks. .- Optimizing Rough Set Flow Graph Inference. .- Multimodal Propaganda Detection in Memes with Tolerance-based Soft Computing Method.
.- Rough Set Models and Foundations. .- Mapper-Based Rough Sets. .- On Tolerance-based Rough Set Operators and Their Covering Generalizations. .- Parametrized Gamma-Decision Valuation for Variable Precision Rough Set Model. .- Rough Algebraic Semantics of Concepts in Distributed Cognition Perspective. .- Description logic for rough concepts. .- Rule Induction and Machine Learning. .- Greedy Algorithm for Construction of Deterministic Decision Trees for Conventional Decision Tables from Closed Classes. .- Study of Dependency Degree and Bayesian Networks for Conflict Scenarios. .- Consideration of Detecting Data and Functional Dependency in Tabular Data with Missing Values by the Obtained Rules.. .- Distance-Based Fuzzy-Rough Sets and Their Application To The Classification Problem. .- Dealing with Missing Values Meaning Unknown in Probabilistic Approximations. .- On Complexity of Deterministic and Nondeterministic Decision Trees for Decision Tables with Many-valued Decisions from Closed Classes. .- Simulating Functioning of Decision Trees for Tasks on Decision Rule Systems. .- RIONIDA: A Novel Algorithm for Imbalanced Data Combining Instance-Based Learning and Rule Induction. .- Granular Computing. .- Information System in the Light of Interactive Granular Computing. .- GBTWSVM: Granular-ball Twin Support Vector Machine. .- Fuzzy Granular-balls based Spectral Clustering. .- A Vector Is a Granule: A Novel Extension of the Variable Precision Rough Set Model. .- Rough Set Applications. .- Cross-Weighting Knowledge Distillation for Object Detection. .- A Method of Multi-USV Reward Design Using Fuzzy Control. .- Hyp-DAN: Hyperbolic Distance-aware Attention Networks. .- Optimizing Rough Set Flow Graph Inference. .- Multimodal Propaganda Detection in Memes with Tolerance-based Soft Computing Method.
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