Rough Sets
Springer International Publishing (Verlag)
978-3-031-65664-4 (ISBN)
- Noch nicht erschienen - erscheint am 18.08.2024
- Versandkostenfrei innerhalb Deutschlands
- Auch auf Rechnung
- Verfügbarkeit in der Filiale vor Ort prüfen
- Artikel merken
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.
.- 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.
| Erscheint lt. Verlag | 18.8.2024 |
|---|---|
| Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
| Zusatzinfo | X, 350 p. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Sozialwissenschaften | |
| Schlagworte | Applied Computing • Clustering • data analytics • Data Mining • Decision Analysis • Decision Support Systems • Deep learning • formal concept analysis • fuzzy rough sets • Granular Computing • information systems • Knowledge Representation and Reasoning • machine learning approaches • Rough Sets • three-way decision |
| ISBN-10 | 3-031-65664-4 / 3031656644 |
| ISBN-13 | 978-3-031-65664-4 / 9783031656644 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
