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GIEG Workshop 2007. Erick Moreno Centeno Industrial Engineer and Operations Reserach Univ. of California, Berkeley. Current Research. The use of a new optimization technique for data mining and pattern recognition. Separation model (proposed by Prof. Hochbaum)
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GIEG Workshop 2007 Erick Moreno Centeno Industrial Engineer and Operations Reserach Univ. of California, Berkeley
Current Research • The use of a new optimization technique for data mining and pattern recognition. • Separation model (proposed by Prof. Hochbaum) • May be used as an integration tool, once the data has been processed by other data mining tools. • Explicitly is designed to be able to include subjective information and exploit the pairwise relationships between the observations.
Robustness of the Separation Model • Reviewer #3 reverses the implied ranking of the first two reviewers when computing the aggregate ranking using the average rule. • The separation model’s output fully agrees with the first two reviewers. *when fixing the node potential of project #1 to 0
Robustness of the Separation Model (2) • Perhaps reviewer #3 can reverse the implied ranking of the first two reviewers by increasing exponentially the separation between the projects. • The separation model’s output fully agrees with the first two reviewers. *when fixing the node potential of project #1 to 0
Current Research • Applications • Country credit risk aggregation • Customer segmentation
Future Research • Analysis of the new techniques their properties and implementations. • Large scale application of the optimization algorithm. • Convergence analysis of a proposed an iterative procedure. • Implementation of a network flow procedure to solve the optimization problem. • Design and analysis of new optimization algorithms
Future Research • Applications • Company clustering via stock correlations
Learn from this Workshop • How to take advantage of the cyber infrastructure tools for the proposed algorithm? • How can this model be implemented in the SDCS? • How does the proposed data mining model compares to other tools available in the SDSC? • How can this tool help integrate the tools available?
Learn from this Workshop • Develop skills and experience to incorporate cyberinfrastructure tools in future research projects. Specifically the design of optimization algorithms to take explicit advantage of this tools.