Difference between revisions of "ACIIDS 2019"
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==Topics== | ==Topics== | ||
| + | '''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 | ||
Revision as of 09:11, 11 September 2020
| ACIIDS 2019 | |
|---|---|
11th Asian Conference Intelligent Information and Database Systems
| |
| Event in series | ACIIDS |
| Dates | 2019/04/08 (iCal) - 2019/04/11 |
| Homepage: | https://aciids.pwr.edu.pl/2019/ |
| Location | |
| Location: | Yogyakarta, Indonesia |
| Table of Contents | |
,
The 11th Asian Conference Intelligent Information and Database Systems (ACIIDS) 2019
Topics
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