Paper abstract

A Case Study in Sequential Pattern Mining for IT-Operational Risk

Valerio Grossi - University of Pisa, Italy
Andrea Romei - University of Pisa, Italy
Salvatore Ruggieri - University of Pisa, Italy

Session: Mining Sequences and Streams
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IT-operational risk management consists of identifying, assessing, monitoring and mitigating the adverse risks of loss resulting from hardware and software system failures. We present a case study in IT-operational risk measurement in the context of a network of Private Branch eXchanges (PBXs). The approach relies on preprocessing and data mining tasks for the extraction of sequential patterns and their exploitation in the definition of a measure called expected risk.