Rough Sets and Knowledge Technology

9th International Conference, RSKT 2014, Shanghai, China, October 24-26, 2014, Proceedings
2014
ISBN: 978-3-319-11739-3
Verlag: Springer International Publishing

Buch, Englisch, Band 8818, 867 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1329 g

Reihe: Lecture Notes in Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Miao, Duoqian

Pedrycz, Witold

Wang, Ruizhi

Peters, Georg

Sl?zak, Dominik

Hu, Qinghua

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Fuzzy-Systeme
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

Inhaltsverzeichnis

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.