Association rules are a basic analysis tools for unstructured data such as accident reports, call centres recordings and CRM logs. Such tools are commonly used in basket analysis of shopping carts for identifying patterns in consumer behaviour. In this chapter we show how association rules are used to analyze unstructured operational risk data in order to provide risk assessments and diagnostic insights. We will also present a new graphical display of association rules that permits effective clustering of associations with a novel association rule called the Relative Linkage Disequilibrium.

Measures of Association Applied to Operational Risks / R. Kenett, S. Salini - In: Operational Risk Management / [a cura di] R. S. Kenett, Y. Raanan. - [s.l] : WILEY, 2010. - ISBN 9780470747483. - pp. 149-167 [10.1002/9780470972571.ch9]

Measures of Association Applied to Operational Risks

S. Salini
Ultimo
2010

Abstract

Association rules are a basic analysis tools for unstructured data such as accident reports, call centres recordings and CRM logs. Such tools are commonly used in basket analysis of shopping carts for identifying patterns in consumer behaviour. In this chapter we show how association rules are used to analyze unstructured operational risk data in order to provide risk assessments and diagnostic insights. We will also present a new graphical display of association rules that permits effective clustering of associations with a novel association rule called the Relative Linkage Disequilibrium.
Association rules; Data mining; Interest measures; Itemsets; Relative linkage disequilibrium (RLD)
Settore SECS-S/01 - Statistica
2010
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/149706
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