Rough Sets [electronic resource] : International Joint Conference, IJCRS 2024, Halifax, NS, Canada, May 17-20, 2024, Proceedings, Part I / edited by Mengjun Hu, Chris Cornelis, Yan Zhang, Pawan Lingras, Dominik Ślęzak, JingTao Yao.

Colaborador(es): Hu, Mengjun [editor.] | Cornelis, Chris [editor.] | Zhang, Yan [editor.] | Lingras, Pawan [editor.] | Ślęzak, Dominik [editor.] | Yao, JingTao [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Lecture Notes in Artificial Intelligence ; 14839Editor: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: XLI, 354 p. 90 illus., 53 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031656651Tema(s): Artificial intelligence | Data mining | Social sciences -- Data processing | Artificial Intelligence | Data Mining and Knowledge Discovery | Computer Application in Social and Behavioral SciencesFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q334-342TA347.A78Recursos en línea: Libro electrónicoTexto
Contenidos:
-- Rough Set Models and Foundations. -- Mapper-Based Rough Sets. -- On Tolerance-based Rough Set Operators and Their Covering Generalizations. -- Parametrized γ-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.
En: Springer Nature eBookResumen: 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.
Star ratings
    Valoración media: 0.0 (0 votos)
Existencias
Tipo de ítem Biblioteca actual Colección Signatura Copia número Estado Fecha de vencimiento Código de barras
Libro Electrónico Biblioteca Electrónica
Colección de Libros Electrónicos 1 No para préstamo

-- Rough Set Models and Foundations. -- Mapper-Based Rough Sets. -- On Tolerance-based Rough Set Operators and Their Covering Generalizations. -- Parametrized γ-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.

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.

UABC ; Perpetuidad

Con tecnología Koha