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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]

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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

Dates:

DateEvent
May 2007Published

Date range:

5/1/2007

Item ID:

960

Date Deposited:

12 Mar 2009 15:41

Last Modified:

20 Jun 2017 13:09

URI:

http://research.gold.ac.uk/id/eprint/960

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