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Intelligent Information Processing is studying on
fundamental theory and advanced technology of intelligence and
knowledge for information processing.
Artificial intelligence
techniques can be useful tools in this context. Intelligent systems
can be applied to searching the Internet and data-mining,
interpreting Internet-derived material, the human Web interface,
remote condition monitoring and many other areas.
The main research
directions contain:
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Knowledge science
Mathematical theory of knowledge
science, logical theory of knowledge science, brain and mind
science, and formal ontology theory of knowledge.
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Agent
computing
l
Machine learning and data mining
- Machine learning theory
- Association Rules
- Classification and Ranking
- Clustering
- Text and Web Mining
- Statistical Methods and support vector machine
- Reinforcement learning
- Neural computing
l
Semantic grid
Web science, semantic Web,
semantic Web services, collaborative working environment, agent
grid, knowledge grid, p2p.
l Large-scale
knowledge processing
Large scale knowledge acquisition
and organization, computer art and natural language processing based
on knowledge, system of parallel geography image knowledge
processing, national knowledge infrastructure supported application
research.
l
Multi-media information processing
Computer graphics, network visual
reality, digital library, digital human system engineering, Chinese
gesture cognition, human face image sensing, multi-media data
compression and search.
l
Bioinformatics
Innovative research on
intersecting fields of modern biology, information science and
mathematics and so on, break through of new model and algorithm of
bioinformatics, developing practical large-scale platform and system
for bioinformatics.
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