Rough Sets : International Joint Conference, IJCRS 2021, Bratislava, Slovakia, September 19-24, 2021, Proceedings / edited by Sheela Ramanna, Chris Cornelis, Davide Ciucci.

Format:

Book

Contributor:

Ramanna, Sheela, Editor.

Cornelis, Chris, Editor.

Ciucci, Davide, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 12872

Lecture Notes in Artificial Intelligence ; 12872

Language:

English

Subjects (All):

Data mining.

Application software.

Artificial intelligence.

Data Mining and Knowledge Discovery.

Computer and Information Systems Applications.

Artificial Intelligence.

Local Subjects:

Data Mining and Knowledge Discovery.

Computer and Information Systems Applications.

Artificial Intelligence.

Physical Description:

1 online resource (XV, 311 pages) : 68 illustrations, 51 illustrations in color.

Edition:

1st ed. 2021.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2021.

System Details:

text file PDF

Summary:

The volume LNAI 12872 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2021, Bratislava, Slovak Republic, in September 2021. The conference was held as a hybrid event due to the COVID-19 pandemic. The 13 full paper and 7 short papers presented were carefully reviewed and selected from 26 submissions, along with 5 invited papers. The papers are grouped in the following topical sections: core rough set models and methods, related methods and hybridization, and areas of applications.

Contents:

Invited Papers

Mining Incomplete Data Using Global and Saturated Probabilistic Approximations Based on Characteristic Sets and Maximal Consistent Blocks

Determining Tanimoto Similarity Neighborhoods of Real-Valued Vectors by Means of the Triangle Inequality and Bounds on Length

Rough-Fuzzy Segmentation of Brain MR Volumes: Applications in Tumor Detection and Malignancy Assessment

DDAE-GAN: Seismic Data Denoising by Integrating Autoencoder and Generative Adversarial Network

Classification of Multi-Class Imbalanced Data: Data Difficulty Factors and Selected Methods for Improving Classifiers

Core Rough Set Models and Methods

General Rough Modeling of Cluster Analysis

Possible Coverings in Incomplete Information Tables with Similarity of Values

Attribute Reduction Using Functional Dependency Relations in Rough Set Theory

The RSDS: A Current State and Future Plans

Many-Valued Dynamic Object-Oriented Inheritance and Approximations

Related Methods and Hybridization

Minimizing Depth of Decision Trees with Hypotheses

The Influence of Fuzzy Expectations on Triples of Triangular Norms in the Weighted Fuzzy Petri Net for the Subject Area of Passenger Transport Logistics

Possibility Distributions Generated by Intuitionistic L-Fuzzy Sets

Feature Selection and Disambiguation in Learning from Fuzzy Labels using Rough Sets

Right Adjoint Algebras versus Operator Left Residuated posets

Adapting Fuzzy Rough Sets for Classification with Missing Values

Areas of Applications

Spark Accelerated Implementation of Parallel Attribute Reduction from Incomplete Data

Attention Enhanced Hierarchical Feature Representation for Three-way Decision Boundary Processing

An Opinion Summarization-Evaluation System Based on Pre-trained Models

Fuzzy-Rough Nearest Neighbour Approaches for Emotion Detection in Tweets

Three-way decisions based RNN models for sentiment classification

Tolerance-Based Short Text Sentiment Classifier

Knowledge Graph Representation Learning for Link Prediction with Three-Way Decisions

PNeS in Modelling, Control and Analysis of Concurrent Systems

3RD: A Multi-Criteria Decision-Making Method Based on Three-Way Rankings.

Other Format:

Printed edition:

ISBN:

978-3-030-87334-9

9783030873349

Access Restriction:

Restricted for use by site license.