Abstract
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.
Original language | American English |
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Journal | Data & Knowledge Engineering |
Volume | 86 |
DOIs | |
State | Published - Jul 2013 |
Externally published | Yes |
Keywords
- classification
- clustering
- crime investigation
- data mining
- forensic analysis
- information retrieval
EGS Disciplines
- Computer Sciences