Real-time probabilistic data association over streams
Mert Akdere, Jeong-Hyon Hwang, Uğur Çetintemel · 2013
The Probabilistic Data Association (PDA) problem involves identifying correspondences between items over data sequences on the basis of similarity functions. PDA has long been a topic of interest in many application areas such as real-time tracking and surveillance. Despite its significance, however, it has largely been ignored by the event-processing community. Our work rectifies this situation by studying PDA in the context of continuous event processing.