grant

Effective Techniques and Methodologies for Multi-Database Mining [ 2003 - 2003 ]

Research Grant

[Cite as http://purl.org/au-research/grants/arc/DP0343109]

Researchers Dr S Zhang

Brief description This project develops a high-performance multi-database mining system. This project is significant because (1) it is imperative due to a great deal of multi-databases widely used in organizations; (2) it is difficult due to essential differences between mono- and multi-databases; (3) existing multi-database mining techniques are inadequate; and (4) the new mining strategies in this project can make a vast improvement of the ability and performance of multi-database mining systems. The expected outcomes are: an application-independent database classification, a local instance analysis and a prototype system. These proposed techniques are innovative, effective and efficient in identifying novel patterns from multi-databases.

Funding Amount $50,000

Funding Scheme Discovery Projects

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