Rationale of the need and objective of the session
Computational web intelligence is the use of computational techniques to shape the future of intelligent web applications. It integrates the concepts and methods of computational intelligence with web technology to build hybrid web intelligent systems. The objective of this workshop is to provide a forum for researchers and practitioners to share their research experiences and domain knowledge in handling the challenges faced during design and development of such intelligent systems. We invite papers which analyze existing techniques, models and provide innovative and intelligent solutions to solve the complex problems of real world applications.
Session outline:
The conference workshop themes are related to tools, techniques and case studies of analyzing and evaluating existing computational web intelligent techniques and studying the prospect of these in future intelligent web scenario using quality experimental technologies.
List of topics
Recommended topics include but are not limited to the following:

Fuzzy Web intelligence
Neural Web intelligence
Evolutionary Web intelligence
Granular Web intelligence
Rough Web Intelligence
Probabilistic Web intelligence
Hybrid web intelligence

on applications in the area of

Adaptive and Personalized Systems
Automation Systems and Control
Business Intelligence
e-Learning, e-Commerce and e-Governance
Expert and Decision Support Systems
Human-Computer Interaction
Industrial Applications
Knowledge-based Systems
Mobile Systems
Recommender Systems
Semantic Web-based Systems
Service Oriented Architectures
Social Network Analysis
Temporally Intelligent Systems
Trust-based Secure Systems
Digital Image Processing and Watermarking