| EPSRC Reference: |
GR/R99386/01 |
| Title: |
KNOWLEDGE DISCOVERY USING SOFT COMPUTING |
| Principal Investigator: |
De Wilde, Professor P |
| Other Investigators: |
|
| Researcher Co-Investigators: |
|
| Project Partners: |
|
| Department: |
Electrical and Electronic Engineering |
| Organisation: |
Imperial College London |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
20 July 2002 |
Ends: |
19 January 2003 |
Value (£): |
13,645
|
| EPSRC Research Topic Classifications: |
| Information & Knowledge Mgmt |
|
|
| EPSRC Industrial Sector Classifications: |
|
| Related Grants: |
|
| Panel History: |
|
|
Summary on Grant Application Form |
|
SummaryDescribe the proposed research in about 200 words.A soft computing system is to be designed for knowledge discovery from large real life data sets. Different soft computing tools like fuzzy sets, neural networks, rough sets, genetic algorithms and decision trees will be used, for synergistically exploiting their generic and application-specific merits. Knowledge will be represented in the form of symbolic/natural rules. Input and output can be in qualitative or numeric forms. Quantitative measures ar to be developed for evaluating the effectiveness of the extracted rules. The problem will be partitioned, based on features and samples, to enable efficient scaling to large data sets. Effect of multi-resolution representation will also be investigated.
|
|
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.imperial.ac.uk |