Next Generation Data Technologies for Collective Computational Intelligence

• Corporate Author: SpringerLink (Online service)
• Other Authors: Bessis, Nik (Editor), Xhafa, Fatos (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.
• Series: Studies in Computational Intelligence, 352
• Subjects: Engineering.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).; Information Systems Applications (incl. Internet).

This book focuses on next generation data technologies in support of collective and computational intelligence. The book brings various next generation data technologies together to capture, integrate, analyze, mine, annotate and visualize distributed data – made available from various community use...

Table of Contents:

• Part I: Foundations and Principles
• Part II: Advanced Models and Practices
• Part III: Advanced Applications Section IV: Future Trends and Concepts.