Abstract We address the problem of monitoring and identification of correlated burst patterns in multi-stream time series databases. We follow a two-step methodology: first we iden...
Haiku is a data mining system which combines the best properties of human and machine discovery. An self organising visualisation system is coupled with a genetic algorithm to prov...
We report on an automated runtime anomaly detection method at the application layer of multi-node computer systems. Although several network management systems are available in th...
Condensed representations of pattern collections have been recognized to be important building blocks of inductive databases, a promising theoretical framework for data mining, and...
This paper introduces and documents a novel image database specifically built for the purpose of development and benchmarking of camera-based digital forensic techniques. More th...