A Case Study in Sequential Pattern Mining for IT-Operational Risk
Abstract
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 .
Cite
Text
Grossi et al. "A Case Study in Sequential Pattern Mining for IT-Operational Risk." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2008. doi:10.1007/978-3-540-87479-9_46Markdown
[Grossi et al. "A Case Study in Sequential Pattern Mining for IT-Operational Risk." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2008.](https://mlanthology.org/ecmlpkdd/2008/grossi2008ecmlpkdd-case/) doi:10.1007/978-3-540-87479-9_46BibTeX
@inproceedings{grossi2008ecmlpkdd-case,
title = {{A Case Study in Sequential Pattern Mining for IT-Operational Risk}},
author = {Grossi, Valerio and Romei, Andrea and Ruggieri, Salvatore},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
year = {2008},
pages = {424-439},
doi = {10.1007/978-3-540-87479-9_46},
url = {https://mlanthology.org/ecmlpkdd/2008/grossi2008ecmlpkdd-case/}
}