Barry A Bodt



Bodt, Barry A (2003), Data Mining Combat Simulations: an Emerging Opportunity, Computing Science and Statistics, 35, I2003Proceedings/BodtBarry/BodtBarry.presentation.pdf ,
I2003Proceedings/BodtBarry/BodtBarry.presentation.ppt



Data Mining Combat Simulations: an Emerging Opportunity
Barry A Bodt, (U.S. Army Research Laboratory), babodt@arl.army.mil

Abstract

We stand at an interesting technology crossroads. Data mining methods, high performance computing, and high fidelity stochastic simulations are now sufficiently mature to potentially bring about great improvement in the manner in which a battle commander plans and executes a battle. In this presentation, I will set the stage for the other speakers in this session by outlining briefly what has been attained recently in Army computing and simulation and argue that the product is worthy of data mining. I will contrast how Army battle planning is performed now with how it might be in the future given assistance from data mining and also suggest practical limits on expectations for implementation. Finally, I will discuss the specific stochastic simulation model and scenario used in this pilot study to generate the data mined by the following speakers.


Take me back to the main proceedings page.