Mining Sequences in Phone Recordings with Answer Set Programming

The analysis of phone recordings is one of the activities typically performed in the Digital Forensics practice. It provides information such as the geographical position of some suspect, useful to reconstruct the network of contacts. In this work we have considered the problem of analyzing a dataset of anonymized phone recordings made available within the DigForASP project by looking for sequential patterns in the recordings. The approach followed leverages the expressive and inferential power of the Answer Set Programming paradigm. The experiments reported here concern the extraction of closed and maximal patterns (condensed representations), which significantly reduces the number of returned patterns without loss of information.