Scope
1. Intelligent Information Systems:
Artificial and Computational Intelligence
Distributed Artificial Intelligence
Intelligent Agents and Multi-Agent Systems
Intelligent Techniques in Bioinformatics
Intelligent Techniques in Optimization
Intelligent Systems: Internet, Software
Intelligent Systems: Energy, Hybrid
Computational Nanotechnology
Game and Decision Theories, Planning
Neurocomputers
Parallel Computation
Automation Systems and Control
Robotics and Autonomous Robots
Method Engineering and Meta-Modeling
UML and Unified Processes
Empirical Software Engineering
Extreme Modeling and Programming
2. Intelligent Database Systems:
Data Warehousing, Data Mining, and Big Data
Mobile and Peer-to-Peer Databases
Spatial, Graph, Temporal Databases
Multimedia, Scientific Databases
Semi-Structured, RDF, XML Databases
Stream and Sensor Databases
Social Network Management
Web and Personal Data Management
Object-Relational Databases
Object-Oriented Databases
Heterogeneous and Distributed Databases
Heterogeneous Knowledge Bases
Data Integration and Interoperability
Ontologies and Information Sharing
Database Models and Query Languages
Database Privacy and Security
Database System Internals and Performance
3. Tools and Applications:
Collaborative Learning
Collaborative Systems and Applications
Enterprise System Integration
Supply Chain Integration
Virtual Teams, Mobile Collaboration
Artificial Social Systems
Recommender Systems
Healthcare and Medicine
Autonomic Computing
Ubiquitous Computing
Internet of Things
E-learning, E-institutions, E-commerce
E-finance, E-business, and M-commerce
Deep Learning Methods and Applications
Image and Video Processing
Speech and Natural Language Processing
Applications of Artificial Intelligence