Accession Number:

ADA537896

Title:

Relational Data Mining with Inductive Logic Programming for Link Discovery

Descriptive Note:

Conference proceedings

Corporate Author:

TEXAS UNIV AT AUSTIN

Report Date:

2002-11-01

Pagination or Media Count:

9.0

Abstract:

Link discovery LD is an important task in data mining for counter-terrorism and is the focus of DARPAs 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 of relational data mining that discovers rules in first-order logic from multi-relational data. This paper discusses the application of ILP to learning patterns for link discovery.

Subject Categories:

  • Information Science

Distribution Statement:

APPROVED FOR PUBLIC RELEASE