IFPC Research on Parallel Business Computing


Parallel Algorithms for Data Mining
The research is to develop a set of parallel algorithms and methods for classification, clustering, regression and visualisation.
Data Visualisation Techniques
Data visualisation is an important component of data mining process. It is useful in the early stage of the data mining process to analyse and prepare the data for data mining algorithm.
Parallel Analytical Computing
This research has focused on investigating parallel optimisation algorithms for decision support in the context of complex business organisations.
Architecture for WWW Based Data Mining and Decision Support System
This research aims to investigate a new generation of client server computing model based on the WWW infrastructure for interactive applications realised through dynamic page creation.