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Investigations into machine learning applications in link analysis

Grant


Scheme


  • Linkage International

Abstract


  • Link Analysis is attracting attention for its applicability in law enforcement investigations (e.g., terrorism), fraud detection (e.g., insurance), WWW analysis (e.g., search engines), telecommunications (e.g., routers), to name a few. Recent advances have made it possible to consider the application of machine learning methods to link analysis. This proposal aims to advance the current state of art in the area of link analysis by allowing the incorporation of contextual information using machine learning methods in both an unsupervised and a supervised learning context. The project will show that a machine learning approach has distinct advantages in terms of cost and flexibility over more traditional approaches.

Date/time Interval


  • 2008

Sponsor Award Id


  • LX0882106

Local Award Id


  • 9794

Scheme


  • Linkage International

Abstract


  • Link Analysis is attracting attention for its applicability in law enforcement investigations (e.g., terrorism), fraud detection (e.g., insurance), WWW analysis (e.g., search engines), telecommunications (e.g., routers), to name a few. Recent advances have made it possible to consider the application of machine learning methods to link analysis. This proposal aims to advance the current state of art in the area of link analysis by allowing the incorporation of contextual information using machine learning methods in both an unsupervised and a supervised learning context. The project will show that a machine learning approach has distinct advantages in terms of cost and flexibility over more traditional approaches.

Date/time Interval


  • 2008

Sponsor Award Id


  • LX0882106

Local Award Id


  • 9794