1.

Record Nr.

UNISA996465418903316

Titolo

Rough Sets [[electronic resource] ] : International Joint Conference, IJCRS 2016, Santiago de Chile, Chile, October 7–11, 2016, Proceedings / / edited by Víctor Flores, Fernando Gomide, Andrzej Janusz, Claudio Meneses, Duoqian Miao, Georg Peters, Dominik Ślęzak, Guoyin Wang, Richard Weber, Yiyu Yao

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016

ISBN

3-319-47160-0

Edizione

[1st ed. 2016.]

Descrizione fisica

1 online resource (XVII, 592 p. 122 illus.)

Collana

Lecture Notes in Artificial Intelligence ; ; 9920

Disciplina

004.5

Soggetti

Artificial intelligence

Database management

Application software

Information storage and retrieval

Data mining

Computers

Artificial Intelligence

Database Management

Information Systems Applications (incl. Internet)

Information Storage and Retrieval

Data Mining and Knowledge Discovery

Computation by Abstract Devices

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Rough Sets, Approximation and Granulation -- Rough Sets, Non-Determinism and Incompleteness -- Rough Sets and Three-way Decisions -- Fuzziness and Similarity in Knowledge Representation -- Machine Learning and Decision Making -- Ranking and Clustering -- Derivation and Application of Rules and Trees -- Derivation and Application of Feature Subsets. .

Sommario/riassunto

This book constitutes the refereed proceedings of the International



Joint Conference on Rough Sets, IJCRS 2016, held in Santiago de Chile, Chile, in October 2016. The 46 revised full papers presented together with 7 keynotes, tutorials and expert papers were carefully reviewed and selected from 108 submissions. The papers are grouped in topical sections on Rough Sets, Approximation and Granulation; Rough Sets, Non-Determinism and Incompleteness; Rough Sets and Three-way Decisions; Fuzziness and Similarity in Knowledge Representation; Machine Learning and Decision Making; Ranking and Clustering; Derivation and Application of Rules and Trees; Derivation and Application of Feature Subsets.