Rough Sets and Knowledge Technology - 4th International Conference, RSKT 2009, Gold Coast, Australia, July 14-16, 2009, Proceedings

This book constitutes the refereed proceedings of the Fourth International Conference on Rough Sets and Knowledge Technology, RSKT 2009, held in Gold Coast, Australia, in July 2009. The 85 revised full papers papers presented together with 3 keynote papers and 2 special sessions were carefully reviewed and selected from 229 submissions. The papers are organized in topical sections on rough sets and computing, rough sets and data reduction, data mining and knowledge discovery, granular computing and cognitive computing, fuzzy sets and computing, knowledge technology and intelligent systems, computational intelligence and applications, image processing and understanding, and formal concept analysis.

List of contents

Keynote Papers.- Rough Sets and Computing.- Rough Sets and Data Reduction.- Data Mining and Knowledge Discovery.- Granular Computing and Cognitive Computing.- Fuzzy Sets and Computing.- Rough Sets and Fuzzy Sets.- Knowledge Technology and Intelligent Systems.- Computational Intelligence and Applications.- Image Processing and Understanding.- Formal Concept Analysis.- Special Session: Decision-Theoretic Rough Sets.- Special Session: Web Mining and Web Recommender Systems.

Product details

• Assisted by: Yuefen Li (Editor), Yuefeng Li (Editor), Lech Polkowski (Editor), Lech Polkowski et al (Editor), Shusaku Tsumoto (Editor), Guoyin Wang (Editor), Peng Wen (Editor), Yiyu Yao (Editor), Yiyu Y. Yao (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 09.06.2009
• EAN: 9783642029615
• ISBN: 978-3-642-02961-5
• No. of pages: 709
• Dimensions: 155 mm x 25 mm x 238 mm
• Weight: 1084 g
• Illustrations: XVIII, 709 p.
• Series: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence; Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; C, Data Mining, Theoretische Informatik, Wissensbasierte Systeme, Expertensysteme, Mathematik für Informatiker, computer science, Theory of Computation, Data Mining and Knowledge Discovery, Computers, Coding and Information Theory, Information theory, Coding theory & cryptology, Mathematical theory of computation, Coding theory, Computer science—Mathematics, Maths for computer scientists, Maths for engineers, Mathematical logic, Expert systems / knowledge-based systems, Mathematical Modeling and Industrial Mathematics, Mathematical models, Mathematical Logic and Formal Languages, Symbolic and Algebraic Manipulation, Computation by Abstract Devices, Formal Languages and Automata Theory