1.

Record Nr.

UNISA996465477803316

Titolo

Rough Sets and Current Trends in Computing [[electronic resource] ] : 8th International Conference, RSCTC 2012, Chengdu, China, August 17-20, 2012.Proceedings / / edited by JingTao Yao, Yan Yang, Roman SlowiƄski, Salvatore Greco, Huaxiong Li, Sushmita Mitra, Lech Polkowski

Pubbl/distr/stampa

Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012

ISBN

3-642-32115-1

Edizione

[1st ed. 2012.]

Descrizione fisica

1 online resource (498 p. 101 illus.)

Collana

Lecture Notes in Artificial Intelligence ; ; 7413

Disciplina

006.3

Soggetti

Artificial intelligence

Data mining

Mathematical logic

Numerical analysis

Application software

Information storage and retrieval

Artificial Intelligence

Data Mining and Knowledge Discovery

Mathematical Logic and Formal Languages

Numeric Computing

Information Systems Applications (incl. Internet)

Information Storage and Retrieval

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di bibliografia

Includes bibliographical references and author index.

Nota di contenuto

Topical sections on rough sets and its applications -- Current trends in computing -- Decision-theoretic rough set model and applications -- Formal concept analysis and granular computing -- Mining complex data with granular computing -- Data mining competition.

Sommario/riassunto

This book constitutes the refereed proceedings of the 8th International Conference on Rough Sets and Current Trends in Computing, RSCTC, held in Chengdu, China, in August 2012, as one of the co-located conferences of the 2012 Joint Rough Set Symposium, JRS 2012. The 55



revised full papers presented together with one keynote paper were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on rough sets and its applications; current trends in computing; decision-theoretic rough set model and applications; formal concept analysis and granular computing; mining complex data with granular computing; data mining competition.