Establishing a Data-Mining Environment for Wartime Event Prediction with an Object-Oriented Command and Control Database

This paper documents progress to date on a research project, the goal of which is wartime event prediction. The paper describes the operational concept, the datamining environment, and the data-mining techniques that use Bayesian networks for classification. Key steps in the research plan are (1)implement machine learning, (2) test the trained networks, and (3) use the technique to support a battlefield commander by predicting enemy attacks. Data for training and testing the technique can be extracted from the object-oriented database that supports the Integrated Marine Multi-Agent Command and Control System (IMMACCS). The class structure in the IMMACCS data model is especially well suited to support attack classification. Establishing a Data-Mining Environment for Wartime Event Prediction with an Object-Oriented Command and Control Database Marion G. Ceruti SSC San Diego S. Joe McCarthy Space and Naval Warfare Systems Command

• Type: Conference
• Year: 2000
• Where: ISORC
• Authors: Marion G. Ceruti, S. Joe McCarthy
• Keywords: Distributed And Parallel Computing, ISORC 2000, Marine Multi-Agent Command, Warfare Systems Command, Wartime Event Prediction