Abstract:
With the advent of mobile phones and wearable technology, there has been a sudden increase
in the amount of geo-located data available to us. One of the basic forms of pattern recognition
is the identification of hotspots. These can range from crime hotspots to disease-prone areas to
identifying dense forest areas. In this report we implement a parallel version of Significant
Linear Hotspot Discovery algorithm by using Neighbor Node filter optimization for detecting
linear hotspots, a follow up on our previous work which was on circular hotspots.
