Reduction in Dimensions and Clustering using Risk and Return Model
Tools
Tools
Stamate, Daniel and Qaiyumi, S.. 2007. 'Reduction in Dimensions and Clustering using Risk and Return Model'. In: IEEE International Symposium on Data Mining and Information Retrieval (IEEE DMIR-07) in conjunction with the IEEE 21 International Conference on Advanced Information Networking and Applications (IEEE AINA-07), Niagara Falls, Canada. UNDEFINED 5/1/2007. [Conference or Workshop Item]
No full text available|
Item Type: |
Conference or Workshop Item (Paper) |
||||
| Additional Information: |
This is the first paper to deploy these kinds of computational model that are well-known in Economics to data mining, in particular to problems of clustering (grouping similar data) and dimension reduction (making large-scale multidimensional data tractable). Rigour: Results on data samples were analysed and compared to those from more traditional approaches to data mining. Significance: We have been approached by a DTI Project (ECRIS) to see where and how this model can be used to pre-process available data and to get patterns characterising formed clusters. The paper was reviewed by three international reviewers. |
||||
| Departments, Centres and Research Units: |
|||||
| Dates: |
|
||||
| Date range: |
5/1/2007 |
||||
| Item ID: |
960 |
||||
| Date Deposited: |
12 Mar 2009 15:41 |
||||
| Last Modified: |
20 Jun 2017 13:09 |
||||
|
URI: |
 |
Edit Record (login required) |