Scope
Last modified
2014-12-21 14:23
Topics of interest include, but are not limited to,
the following:
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- Information Retrieval Systems
- Knowledge Management and Cyber-Learning
- Database Engineering and Systems
- Data and Knowledge Processing
- Databanks: Issues, Methods, and Standards
- Data Warehousing and Datacenters
- Health Information Systems
- Data Security and Privacy Issues
- Information Reliability and Security
- Information and Knowledge Structures
- Knowledge Life Cycle
- Knowledge and Information Extraction and Discovery Techniques
- Knowledge Classification Tools
- Knowledge and Information Management Techniques
- Knowledge Extraction from Images
- Knowledge Representation and Acquisition
- Knowledge Re-engineering
- Large-scale Information Processing Methods
- Intelligent Knowledge-based Systems
- Re-usability of Software/Knowledge/Information
- Formal and Visual Specification Languages
- Decision Support and Expert Systems
- e-Libraries (Digital Libraries) + e-Publishing
- Ontology: Engineering, Sharing and Reuse, Matching and Alignment
- Digital Typography
- Agent-based Techniques and Systems
- Workflow Management
- Business Intelligence
- Large-scale Information Processing Methods and Systems
- Content Management
- Data and Knowledge Fusion
- Dataweb Models and Systems
- Global Contextual Processing and Management Implementation
- Data/Information/Knowledge Models
- Managing Copyright Laws
- Interoperability Issues
- Transaction Systems
- Search Methods
- Ontologies and Semantics
- Object-oriented Modeling and Systems
- Case-based Reasoning
- Digital Watermarking
- Classical Aspects of Information Theory
- Coding Theory
- Quantum Information Theory
- Applications (e-Commerce, Multimedia, Business, Banking, ...)
- Emerging Technologies and Related Issues
- Natural Language Processing
- Information Integration
- Multi-cultural Information Systems
- Domain Analysis and Modeling
- Metamodelling
- Education and Training Issues
- Knowledge Mining
- Information and Knowledge Engineering in the Context of Big Data:
- Massively Parallel Processing (MPP) Databases
- Information Mining Grids
- Distributed Databases
- Cluster Analysis
- Crowdsourcing
- Data Fusion and Integration
- Neural Networks
- Pattern Recognition
- Data Anomaly Detection
- Supervised and Unsupervised Learning
- Time Series Analysis and Visualisation
- Search-based Applications
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