Reduction in Dimensions and Clustering using Risk and Return Model
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]
| 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 | Computing |
| Date Deposited | 12 Mar 2009 15:41 |
| Last Modified | 20 Jun 2017 13:09 |