Knowledge-Based Intelligent Information and Engineering Systems [electronic resource] : 12th International Conference, KES 2008, Zagreb, Croatia, September 3-5, 2008, Proceedings, Part III /
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- text
- computer
- online resource
- 9783540855675
- Artificial intelligence
- Data mining
- Computer engineering
- Computer networks
- Application software
- Information technology -- Management
- Computers and civilization
- Artificial Intelligence
- Data Mining and Knowledge Discovery
- Computer Engineering and Networks
- Computer and Information Systems Applications
- Computer Application in Administrative Data Processing
- Computers and Society
- 006.3 23
- Q334-342
- TA347.A78
The three volume set LNAI 5177, LNAI 5178, and LNAI 5179, constitutes the refereed proceedings of the 12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008, held in Zagreb, Croatia, in September 2008. The 316 revised papers presented were carefully reviewed and selected. The papers present a wealth of original research results from the field of intelligent information processing in the broadest sense; topics covered in the third volume are intelligent data processing in process systems and plants; neural information processing for data mining; soft computing approach to management engineering; advanced groupware; agent and multi-agent systems: technologies and applications; engineered applications of semantic Web; evolvable hardware and adaptive systems; evolvable hardware applications in the area of electronic circuits design; hyperspectral imagery for remote sensing; immunity-based systems; innovations in intelligent multimedia systems and virtual reality; intelligent environment support for collaborative learning; intelligent systems in medicine and healthcare; knowledge interaction for creative learning; novel foundation and applications of intelligent systems; skill acquisition and ubiquitous human computer interaction; smart sustainability; unsupervised clustering for exploratory data anlysis; and use of AI techniques to build enterprise systems.
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