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Rough Sets : International Joint Conference, IJCRS 2019, Debrecen, Hungary, June 17-21, 2019, Proceedings / edited by Tamás Mihálydeák, Fan Min, Guoyin Wang, Mohua Banerjee, Ivo Düntsch, Zbigniew Suraj, Davide Ciucci.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

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Format:
Book
Contributor:
Mihálydeák, Tamás, editor.
Min, Fan, editor.
Wang, Guoyin, 1970- editor.
Banerjee, Mohua, editor.
Düntsch, Ivo, editor.
Suraj, Zbigniew, editor.
Ciucci, Davide, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence ; 11499.
Lecture Notes in Artificial Intelligence ; 11499
Language:
English
Subjects (All):
Data mining.
Artificial intelligence.
Computer arithmetic and logic units.
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Arithmetic and Logic Structures.
Local Subjects:
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Arithmetic and Logic Structures.
Physical Description:
1 online resource (XXII, 550 pages) : 239 illustrations, 55 illustrations in color.
Edition:
First edition 2019.
Contained In:
Springer eBooks
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2019.
System Details:
text file PDF
Summary:
This LNAI 11499 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2019, held in Debrecen, Hungary, in June 2019. The 41 full papers were carefully reviewed and selected from 71 submissions. The IJCRS conferences aim at bringing together experts from universities and research centers as well as the industry representing fields of research in which theoretical and applicational aspects of rough set theory already find or may potentially find usage. The papers are grouped in topical sections on core rough set models and methods; related methods and hybridization; areas of application.
Contents:
Core Rough Set Models and Methods
An Application of Bayesian Confirmation Theory for Three-Way Decision
Concept Approximation Based on Rough Sets and Judgment
Rough Sets and the Algebra of Conditional Logic
Rough Sets Defined by Multiple Relations
On the Roughly Continuous Real Functions
On topologies defined by binary relations in rough sets
Iterative Set Approximations Based on Tolerance Relation
Approximation Based on Representatives
Local search for attribute reduction
Rough Matroids Based on Dual Approximation Operators
Studies on Reducing the Necessary Data Size for Rule Induction from the Decision Table by STRIM
Rough Approximations on Two Universes under a Mapping
Rough Sets Based on Possible Indiscernibility Relations in Incomplete Information Tables with Continuous Values
The Prototype View of Concepts
A Three-Way Clustering Algorithm via Decomposing Similarity Matrices for Multi-View Data with Noise
Related Methods and Hybridization
A Scalable Approach to Fuzzy Rough Nearest Neighbour Classification with Ordered Weighted Averaging Operators
Learning Multi-granular Features for Harvesting Knowledge from Free Text
Building a Framework of Rough Inclusion Functions by Means of Computerized Proof Assistant
Membrane Systems and Multiset Approximation: The Cases of Inner and Boundary Rule Application
Soft Petri Net
Approximations induced by tolerance relations
Three-Way Classification: Ambiguity and Abstention in Machine Learning
Concepts Approximation Through Dialogue With User
A Dynamic Dominance-based Rough Set Approach for Processing Ordered Data
CSLI: Cost-sensitive collaborative filtering with local information embedding
Attribute reduction based on optimistic multi-granulation information Systems
Constructing the Optimal Approximation Sets of Rough Sets in Multi-granularity Spaces
Discovering Flow Graphs from Data Tables Using the Classification and Prediction Software System (CLAPSS)
Methods to Edit Multi-label Training Sets Using Rough Sets Theory
Areas of Applications
The Impact of Rough Set Conferences
Multivariate Ovulation Window Detection at OvuFriend
Incremental Sequential Three-Way Decision Using a Deep Stacked Autoencoder
Three-way Decision Collaborative Recommendation Algorithm Based on User Reputation
Multi-Graded Hybrid MRDM Model for Assisting Financial Performance Evaluation Decisions: A Preliminary Work
3D Face Recognition Based on Hybrid Data
Rough Sets and Local Texture Features for Diagnosis of Connective Tissue Disorders
Developing Pricing Models for Online Art Sales Using Text Analytics
Hardware Implementation on Field Programmable Gate Array of Two-Stage Algorithm for Rough Set Reduct Generation
A Multi-Granularity Representation Learning Framework for User Identification Across Social Networks
A Robust Long-term Pedestrian Tracking-by-Detection Algorithm Based on Three-way Decision
A Bibliometric Profile of Research on Rough Sets.
Other Format:
Printed edition:
ISBN:
978-3-030-22815-6
9783030228156
Access Restriction:
Restricted for use by site license.

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