Data Mining Techniques Applied to Urban Terrain Command and Control Experimentation
Abstract
Advances in the fields of simulation and data mining are proving relevant to providing battlespace decision support. High performance computing, improved modeling techniques, and new decision support methodologies drive these advances. Combat simulations now generate behaviors at increasingly finer scales. Data mining provides a mechanism for uncovering key patterns in larger data sets such as those generated by modern combat simulations. The capability of simulating detailed courses of action (COAs) opens up the possibility of mining collected data for insights. Specifically, decision support systems could assist commanders in examining simulation data for relationships between the structure of the COA and various battle objectives. Our current experimentation centers on the use of complex or urban terrain for warfighting. The synergy of data mining tools, high performance computing, and high resolution simulation has the potential to assist battle planners in the improvement of battlefield assessments and the expedient modification of COAs.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 2003
- Accession Number
- ADA466439
Entities
People
- Barry Bodt
- Eric Heilman
- Janet O'may
Organizations
- United States Army Research Laboratory