Rationale of the need and objective of the session
An intelligent knowledge society is a community of people sharing common goals, collaborating to achieve the same by infusing technology into the processes of knowledge creation. Such a society encourages sharing and reusability of knowledge components for efficient management of the resources. 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 intelligent systems to form an intelligent knowledge society.
Session outline:
The conference workshop themes are related to tools, techniques and case studies of analyzing and evaluating existing social structures and applying intelligent and knowledge-based quality experimental technologies to build an intelligent knowledge society.
List of topics
Recommended topics include but are not limited to the following:
Use of intelligent techniques such as
Machine Learning
Multi Agent Systems
Fuzzy and Rough Sets
Neural Networks
Pattern Recognition
Collective Intelligence
Data Mining
Evolutionary Algorithms
Knowledge Engineering
Mobile Computing
Nature-inspired Computing
Self Organization
Temporal Logic
Trust, Reputation, and Security
Ubiquitous Computing
Visualization
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