William Pottenger
A new system from Rutgers University called “Distributed Higher Order Privacy Enhanced Knowledge Discovery”, DI-HOPE-KD, aims to bridge the caps between disparate criminal investigations groups in hopes of revealing patterns and knowledge previously hidden.
Once DI-HOPE KD is fully online, the system will use enormous amounts of data from multiple sources nationwide to turn up new leads on cases. In the meantime, the Rutgers group is testing their system’s algorithms using supercomputers to simulate a distributed environment, Pottenger says. While some parts of the DI-HOPE KD system are already available, the full system is expected to come online in the next five to ten years
William Pottenger is leading the effort with help from the NSF and Homeland Security. The main focus is developing a set of “Higher Order Learning algorithms” to mine the massive piles of input data for patterns and important nuggets, to later be handed off to human investigators.
