Del 13633 i serien Lecture Notes in Computer Science

Rough Sets

International Joint Conference, IJCRS 2022, Suzhou, China, November 11–14, 2022, Proceedings

Häftad, Engelska, 2022

AvJingTao Yao,Hamido Fujita,Xiaodong Yue,Duoqian Miao,Jerzy Grzymala-Busse,Fanzhang Li

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This book constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2022, held in Suzhou, China, in November 2022. rough set theory and applications; granular computing and applications; conceptual knowledge discovery and machine learning based on three-way decisions and granular computing;

Produktinformation

Utgivningsdatum2022-11-12
Mått155 x 235 x 27 mm
Vikt688 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor432
FörlagSpringer International Publishing AG
ISBN9783031212437

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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.