Research Objectives
The primary objective of our research is to solve challenging Bioinformatics, Geoinformation Science and Computational Finance problems by developing and integrating distributed and parallel data mining and statistical learning technology for an efficient knowledge discovery at large sequence, spatial, temporal and spatial-temporal databases.
Current Projects
Data Mining in Bio Medical Sciences
Data Mining in Geo Sciences
- Retrieval and Analysis of Geophysical Parameters
- Spatial and Spatial Temporal
- Parallel and Distributed Data Mining
Data Mining in Social Sciences
Machine Learning
- Time Series Analysis for Financial Model
- General Machine Learning Topics
- Hybrid Knowledge Systems: Integrating Dynamic Learning and Expert Knowledge