Rough Sets
Springer International Publishing (Verlag)
978-3-031-21243-7 (ISBN)
The 28 full papers included in this book were carefully reviewed and selected from 42 submissions. They were organized in topical sections as follows: Invited papers, IRSS President Forum; rough set theory and applications; granular computing and applications; classification and deep learning; conceptual knowledge discovery and machine learning based on three-way decisions and granular computing; uncertainty in three-way decisions; granular computing, and data science.
Invited Papers, IRSS President Forum.- Orthopartitions in Knowledge Representation and Machine Learning.- Rough Sets and Fuzzy Sets in Interactive Granular Computing.- MGCC: Multi-Granularity Cognitive Computing.- Three-way decision, three-world conception, and explainable AI.- Rough set theory and applications.- scikit-weak: A Python library for Weakly Supervised Machine Learning.- Applying Rough Set Theory for Digital Forensics Evidence Analysis.- Binary boundaries and power set space of graded rough sets and their correlative ECG (Electrocardiogram) data analysis.- Neighborhood Approximate Reducts-based Ensemble Learning Algorithm and Its Application in Software Defect Prediction.- Granular computing and applications.- USV Path Planning Based on Adaptive Fuzzy Reward.- A Naive Bayes Classifier Based on Neighborhood Granulation.- Matrix representations and interdependency on an L-fuzzy covering-based rough set.- Uncertainty-aware Deep Open-set Object Detection.- Classification and deep learning.- Rule Acquisition in Generalized One-sided Decision Systems.- Density peak clustering based split-and-merge.- Multi-label feature extraction with distance-based graph attention network.- Multi-scale Subgraph Contrastive Learning for Link Prediction.- Video Object Detection with MeanShift Tracking.- MP-KMeans: K-Means with Missing Pattern for Data of Missing Not at Random.- Conceptual Knowledge Discovery and Machine Learning Based on Three-way Decisions and Granular Computing.- Using User's Expression Propensity for Sarcasm Detection based on Sequential Three-way Decision.- Concept Reduction of Object-induced Three-way Concept Lattices.- An Attention-Based Token Pruning Method for Vision Transformers.- Three-way approximate criterion reduction in multi-criteria decision analysis.- Close Contact Detection in Social Networksvia Possible Attribute Analysis.- Uncertainty in Three-way Decisions, Granular Computing, and Data Science.- A Probabilistic Approach to Analyzing Agent Relations in Three-Way Conflict Analysis Based on Bayesian Confirmation.- Hierarchical multi-granulation sequential three-way decisions.- KNN Ensemble Learning Integration Algorithm based on Three-way Decision.- Attribute Reduction of Crisp-Crisp Concept Lattices Based on Three-Way Decisions.- Kernelized Fuzzy Rough Sets-based Three-Way Feature Selection.- Adaptive K-means Algorithm Based on Three-Way Decision.- 3WS-ITSC: Three-Way Sampling on Imbalanced Text Data for Sentiment Classification.- Rough-Fuzzy Clustering based on Adaptive Weighted Values and Three-way Decisions.
| Erscheinungsdatum | 13.11.2022 |
|---|---|
| Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
| Zusatzinfo | XXIII, 432 p. 95 illus., 60 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 694 g |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Sozialwissenschaften | |
| Schlagworte | Applications • Artificial Intelligence • attribute reduction • classification • clustering algorithms • Computer Science • Computer systems • computer vision • conference proceedings • Databases • Data Mining • Decision Theory • Education • Fuzzy Sets • Image Processing • Informatics • Information Retrieval • information systems • learning • machine learning • Research • Rough Set Theory • Semantics • Signal Processing |
| ISBN-10 | 3-031-21243-6 / 3031212436 |
| ISBN-13 | 978-3-031-21243-7 / 9783031212437 |
| Zustand | Neuware |
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