EPSRC logo

Details of Grant 

EPSRC Reference: GR/L16002/01
Title: EFFICIENT KNOWLEDGE DISCOVERY IN DATABASES
Principal Investigator: Lavington, Professor S
Other Investigators:
Lowden, Mr B Scott, Dr P
Researcher Co-Investigators:
Project Partners:
Pre Nexus Migration White Cross Systems Ltd
Department: Computer Sci and Electronic Engineering
Organisation: University of Essex
Scheme: Standard Research (Pre-FEC)
Starts: 01 December 1996 Ends: 30 November 1998 Value (£): 181,257
EPSRC Research Topic Classifications:
Information & Knowledge Mgmt
EPSRC Industrial Sector Classifications:
Information Technologies
Related Grants:
Panel History:  
Summary on Grant Application Form
There is no single KDD algorithm that is suitable for all classes of database and all kinds of KDD task. Furthermore, most KDD algorithms run too slowly to be of practical use on realistic databases. However, initial studies indicate that the majority of data mining activity depends upon a small set of generic primitive operations. We propose to quantify this belief and transform the generic primitives into SQL in such a way that it becomes easier to exploit data-parallelism. We will then analyse the performance of primitives when running on commercially available parallel database servers (SP2, Goldrush, WX9010), in collaboration with our industrial partners. After and necessary enhancements, we will encapsulate our primitives in KDD tools that can be used by non-experts for decision support on realistic volumes of data in a DBMS data-warehousing environment. In due course, we expect our industrial partners to be able to incorporate out KDD tools into products.
Key Findings
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Potential use in non-academic contexts
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Impacts
Description This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Summary
Date Materialised
Sectors submitted by the Researcher
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Project URL:  
Further Information:  
Organisation Website: http://www.sx.ac.uk