Summary
"Computers are increasingly used as tools to commit crimes such as unauthorized access
(hacking), drug trafficking, and child pornography. The proliferation of crimes involving
computers has created a demand for special forensic tools that allow investigators to look
for evidence on a suspect’s computer by analyzing communications and data on the computer’s
storage devices. Motivated by the forensic process at Sûreté du Québec (SQ), the
Québec provincial police, we propose a new subject-based semantic document-clustering
model that allows an investigator to cluster documents stored on a suspect’s computer by
grouping them into a set of overlapping clusters, each corresponding to a subject of interest
initially defined by the investigator."--Abstract.