Knowledge-Based Intelligent Information and Engineering Systems

Knowledge-Based Intelligent Information and Engineering Systems
Author :
Publisher : Springer Science & Business Media
Total Pages : 1009
Release :
ISBN-10 : 9783540288978
ISBN-13 : 354028897X
Rating : 4/5 (97X Downloads)

Book Synopsis Knowledge-Based Intelligent Information and Engineering Systems by : Rajiv Khosla

Download or read book Knowledge-Based Intelligent Information and Engineering Systems written by Rajiv Khosla and published by Springer Science & Business Media. This book was released on 2005-08-30 with total page 1009 pages. Available in PDF, EPUB and Kindle. Book excerpt: The four volume set LNAI 3681, LNAI 3682, LNAI 3683, and LNAI 3684 constitute the refereed proceedings of the 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005, held in Melbourne, Australia in September 2005. The 716 revised papers presented were carefully reviewed and selected from nearly 1400 submissions. The papers present a wealth of original research results from the field of intelligent information processing in the broadest sense; topics covered in the fourth volume are innovations in intelligent systems and their applications, data mining and soft computing applications, skill acquisition and ubiquitous human computer interaction, soft computing and their applications, agent-based workflows, knowledge sharing and reuse, multi-media authentication and watermarking applications, knowledge and engineering techniques for spatio-temporal applications, intelligent data analysis and applications, creativitiy support environment and its social applications, collective intelligence, computational methods for intelligent neuro-fuzzy applications, evolutionary and self-organizing sensors, actuators and processing hardware, knowledge based systems for e-business and e-learning, multi-agent systems and evolutionary computing, ubiquitous pattern recognition, neural networks for data mining, and knowledge-based technology in crime matching, modelling and prediction.


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