Herrero / Snášel / Snásel International Joint Conference CISIS’12-ICEUTE´12-SOCO´12 Special Sessions

1. Auflage 2012
ISBN: 978-3-642-33018-6
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 189, 545 Seiten, eBook

Reihe: Advances in Intelligent Systems and Computing

This volume of Advances in Intelligent and Soft Computing contains accepted papers presented at CISIS 2012 and ICEUTE 2012, both conferences held in the beautiful and historic city of Ostrava (Czech Republic), in September 2012. CISIS aims to offer a meeting opportunity for academic and industry-related researchers belonging to the various, vast communities of Computational Intelligence , Information Security , and Data Mining . The need for intelligent, flexible behaviour by large, complex systems, especially in mission-critical domains, is intended to be the catalyst and the aggregation stimulus for the overall event. After a through peer-review process, the CISIS 2012 International Program Committee selected 30 papers which are published in these conference proceedings achieving an acceptance rate of 40%.In the case of ICEUTE 2012, the International Program Committee selected 4 papers which are published in these conference proceedings.The selection of papers was extremely rigorous in order to maintain the high quality of the conference and we would like to thank the members of the Program Committees for their hard work in the reviewing process. This is a crucial process to the creation of a high standard conference and the CISIS and ICEUTE conferences would not exist without their help.

Zielgruppe

Research

Autoren/Hrsg.

Herrero, Álvaro

Snášel, Václav

Abraham, Ajith

Zelinka, Ivan

Baruque, Bruno

Quintián, Héctor

Lui, José

Snásel, Václav

Calvo, José Luis

Sedano, Javier

Corchado, Emilio

Inhaltsverzeichnis

Applications of Intelligent Methods for Security.- Infrastructure and Network Security.- Intelligent Network Security and Survivability.- Text Processing Applications to Secure and Intelligent Systems.- Soft Computing Models for Biomedical Signals and Data Processing.