Use of data mining techniques to model crime scene investigator performance

摘要

This paper examines how data mining techniques can assist the monitoring of Crime Scene Investigator performance. The findings show that Investigators can be placed in one of four groups according to their ability to recover DNA and fingerprints from crime scenes. They also show that their ability to predict which crime scenes will yield the best opportunity of recovering forensic samples has no correlation to their actual ability to recover those samples.