| EPSRC Reference: |
GR/L16002/01 |
| Title: |
EFFICIENT KNOWLEDGE DISCOVERY IN DATABASES |
| Principal Investigator: |
Lavington, Professor S |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| 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
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| EPSRC Research Topic Classifications: |
| Information & Knowledge Mgmt |
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| EPSRC Industrial Sector Classifications: |
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Summary on Grant Application Form |
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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.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.sx.ac.uk |