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

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Presentation transcript:

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

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

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

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.