Event-Stream Processing (ESP)

ESP processes data from various sources in an attempt to identify meaning within complex patterns of events. In order to do this, ESP uses techniques such as:

• Detecting complex patterns among a group of events
• Event correlation and abstraction
• Determining the hierarchy of events
• Determining the relationships between events, which may include causality, membership and timing.

ESP is used to conduct algorithmic securities trading, to detect fraud and to aid in the provision of location-based telecommunication services.