This document discusses complex event processing (CEP) and different CEP frameworks. It provides an introduction to CEP, describes event stream analysis and patterns in CEP. It also demonstrates CEP using Esper and Storm through word count examples. Key frameworks discussed are Esper, Storm, and Disruptor. The document shows how Esper can be used to define event types, statements, and listeners to perform event processing and aggregation. It also compares performance of Esper, Storm and Disruptor on word count processing.
Temporaral (Interval/Length/…) – this is one Spatial (Location related) – I read an article So for example when Visa is checking my purchase behaviour. They have a lot parameters when they do a risk analyze if should be able to to the purchase or not in real-time. If my card is used in another part of the world all of a sudden there is an increased risk that something is wrongState-Oriented (ie external Traffic Condition)Segment-Oriented (ie age segmentation)