Rough Sets

International Joint Conference, IJCRS 2024, Halifax, NS, Canada, May 17¿20, 2024, Proceedings, Part I
Herausgegeben:Hu, Mengjun; Cornelis, Chris; Zhang, Yan; Lingras, Pawan; Slezak, Dominik; Yao, JingTao

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Lecture Notes in Computer Science 14839
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-65664-4
• 2024
• Seitenzahl: 396
• Erscheinungstermin: 25. Juli 2024
• Englisch
• Abmessung: 235mm x 155mm x 22mm
• Gewicht: 599g
• ISBN-13: 9783031656644
• ISBN-10: 3031656644
• Artikelnr.: 70920569

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.