Relational data mining with inductive logic programming for link discovery

摘要: Link discovery (LD) is an important task in data mining for counter-terrorism and is the focus of DARPA’s Evidence Extraction and Link Discovery (EELD) research program. Link discovery concerns the identification of complex relational patterns that indicate potentially threatening activities in large amounts of relational data. Most data-mining methods assume data is in the form of a feature-vector (a single relational table) and cannot handle multi-relational data. Inductive logic programming is a form