1.

Record Nr.

UNINA9910484534803321

Titolo

Rough Sets and Knowledge Technology : 9th International Conference, RSKT 2014, Shanghai, China, October 24-26, 2014, Proceedings / / edited by Duoqian Miao, Witold Pedrycz, Dominik Ślȩzak, Georg Peters, Qinghua Hu, Ruizhi Wang

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014

ISBN

3-319-11740-8

Edizione

[1st ed. 2014.]

Descrizione fisica

1 online resource (XXVIII, 867 p. 178 illus.)

Collana

Lecture Notes in Artificial Intelligence ; ; 8818

Disciplina

006.3

Soggetti

Artificial intelligence

Application software

Database management

Numerical analysis

Data mining

Pattern recognition

Artificial Intelligence

Information Systems Applications (incl. Internet)

Database Management

Numeric Computing

Data Mining and Knowledge Discovery

Pattern Recognition

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di contenuto

Foundations and Generalizations of Rough Sets -- Attribute Reduction and Feature Selection -- Applications of Rough Sets -- Intelligent Systems and Applications -- Knowledge Technology -- Domain-Oriented Data-Driven Data Mining -- Uncertainty in Granular Computing -- Advances in Granular Computing -- Big Data to Wise Decisions -- Rough Set Theory -- Three-Way Decisions, Uncertainty, and Granular Computing.

Sommario/riassunto

This book constitutes the thoroughly refereed conference proceedings



of the 9th International Conference on Rough Sets and Knowledge Technology, RSKT 2014, held in Shanghai, China, in October 2014. The 70 papers presented were carefully reviewed and selected from 162 submissions. The papers in this volume cover topics such as foundations and generalizations of rough sets, attribute reduction and feature selection, applications of rough sets, intelligent systems and applications, knowledge technology, domain-oriented data-driven data mining, uncertainty in granular computing, advances in granular computing, big data to wise decisions, rough set theory, and three-way decisions, uncertainty, and granular computing.