1. Eran Chinthaka & Jaliya Ekanayake Class Project for: Knowledge Based Computing (B552)

2. Current System Rule Engine R 12 3 Workflows 4 Predictions 1Weather Events – One event from 140 sensors every 5 minutes. Single event is 4xx KB in size 2Collection of events 3Workflow to be executed 4Collect more data and run the next work flow

3. Our Approach CBR 12 3 Workflows Predictions 1Weather Events – One event from 145 sensors every 5 minutes. Single event is 4xx KB in size 2Collection of events 3Workflow to be executed Window of Events Cases 4

4. Challenges  Weather events are in special formats.  Mostly spatial data  Similarity checking can be difficult  Events arrive at higher rates  145 events each 4xx KB for every 5 mins  Pre-filtering  Window size  Small -> Higher performance cost  Large -> Slower prediction  Need to out perform a rule based system.