Name
Title | ||
|---|---|---|
Establishing a Data-Mining Environment for Wartime Event Prediction with an Object-Oriented Command and Control Database |
Abstract | ||
|---|---|---|
The paper documents progress to date on a research project, the goal of which is wartime event prediction. It describes the operational concept, the data mining environment, and data mining techniques that use Bayesian networks for classification. Key steps in the research plan are as follows: (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). These data were derived from message traffic generated during US Marine Corps exercises. The class structure in the IMMACCS data model is especially well suited to support attack classification |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/ISORC.2000.839526 | Object-Oriented Real-Time Distributed Computing, 2000. |
Keywords | Field | DocType |
bayesian network,u.s. marine corps,control system,object-oriented command,control database,data-mining technique,immaccs data model,attack classification,wartime event prediction,research project,research plan,integrated marine multi-agent command,data-mining environment,bayesian methods,object oriented,command and control,computations,system testing,learning artificial intelligence,bayes theorem,intelligent control,machine learning,networks,data mining,data bases,bayesian networks,class structure,data models,data management,real time,object oriented programming,classification,multi agent systems | Intelligent control,Data modeling,Data mining,Object-oriented programming,Command and control,Computer science,Real-time computing,Multi-agent system,Bayesian network,Data management,Data model,Distributed computing | Conference |
ISBN | Citations | PageRank |
0-7695-0607-0 | 6 | 0.98 |
References | Authors | |
4 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marion G. Ceruti | 1 | 126 | 27.87 |
| S. Joe McCarthy | 2 | 6 | 0.98 |