Buch, Englisch, 230 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 3752 g
Buch, Englisch, 230 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 3752 g
Reihe: Studies in Computational Intelligence
ISBN: 978-3-642-43274-3
Verlag: Springer
The purpose of the 13th International Conference on Computer and Information Science (SNPD 2012) held on August 8-10, 2012 in Kyoto, Japan was to bring together researchers and scientists, businessmen and entrepreneurs, teachers and students to discuss the numerous fields of computer science, and to share ideas and information in a meaningful way. Our conference officers selected the best 17 papers from those papers accepted for presentation at the conference in order to publish them in this volume. The papers were chosen based on review scores submitted by members of the program committee, and underwent further rounds of rigorous review.
The conference organizers selected 17 outstanding papers from SNPD 2012, all of which you will find in this volume of Springer’s Studies in Computational Intelligence.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Technische Informatik Grid-Computing & Paralleles Rechnen
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
Weitere Infos & Material
From the Contents: Evaluation of secular changes in statistical features of traffic for the purpose of malware detection.- A Comparative Study in the Bump Hunting between the Tree-GA and the PRIM.- Back-to-Back Testing Framework Using a Machine Learning Method.-StenoCipher to Provide Data Confidentiality and Tampered Data Recovery for RFID Tag.- Multimedia Stream Rate Control over MANET Based on Router Feedback.- Multivariate Regression Modeling for Home Value Estimates with Evaluation using Maximum Information Coefficient.
