---
title: "Discovering Chronicles with Numerical Time Constraints from Alarm Logs for Monitoring Dynamic Systems"
authors:
  - "Christophe Dousson"
  - "Thang Vu Duong"
doi: ""
url: "https://ijcai.org/proceedings/1999/89"
pdf: "https://ijcai.org/proceedings/1999/0089.pdf"
venue: "Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence"
year: 1999
pages: "620-625"
track: "Knowledge-based Applications"
keywords:
---

# Discovering Chronicles with Numerical Time Constraints from Alarm Logs for Monitoring Dynamic Systems

Christophe Dousson, Thang Vu Duong

*Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence*, pages 620-625.

## Abstract

We address the problem of knowledge acquisition for alarm correlation in a complex dynamic system like a telecommunications network. To reduce the amount of information coming from telecommunications equipment, one needs to preprocess the alarm stream and we propose here a way to acquire some knowledge to do that . The key idea is that only the frequent alarm sets are relevant for reducing the information stream: we aggregate frequent relevant information and suppress frequent noisy information. We propose algorithms for analysing alarm logs: first stage is to discover frequently occurring temporally-constrained alarm sets (called chronicles) and second stage is to filter them according to their interdependency level. We also show experimental results with an actual telecommunications ATM network. Areas: knowledge acquisition, discovery, temporal reasoning, applications, monitoring.