An Immune-Inspired Technique to Identify Heavy Goods Vehicles Incident Hot Spots.

We report on the adaptation of an immune-inspired instance selection technique to solve a real-world big data problem of determining vehicle incident hot spots. The technique, which is inspired by the immune system self-regulation mechanism, was originally conceptualized to eliminate very similar instances in data classification tasks. We adapt the method to detect hot spots from a telematics data...