An Approach for Alert Raising in Real-Time Data Warehouses
Résumé
This work proposes an approach for alert raising within a real-time
data warehouse environment. It is based on the calculation of confidence intervals
for measures from historical facts. As new facts arrive to the data warehouse
on a real-time basis, they are systematically compared with their appropriate
confidence intervals and alerts are raised when anomalies are detected. The interest
of this approach is illustrated using the particular real world use case of
technical analysis of stock data.