Accession Number:

ADA429327

Title:

Knowledge Discovery in the I-METL Application

Descriptive Note:

Final rept.

Corporate Author:

ENGINEER RESEARCH AND DEVELOPMENT CENTER CHAMPAIGN IL CONSTRUCTION ENGINEERING RESEARCH LAB

Personal Author(s):

Report Date:

2004-09-01

Pagination or Media Count:

38.0

Abstract:

The Installation Mission Essential Task List I-METL is a software system designed to support the modeling and analysis of garrison capabilities, tenant functions, and installation resources. From a system analysts point of view, the main focus of the I-METL application is that of collecting, sharing, and managing structured data. As the stored data accumulates in size, quality, and richness, stakeholders begin to realize the potential for harvesting new business intelligence from the data store. To this end, a myriad of tools and methods commonly referred to as Knowledge Discovery from Database KDD methods are available, depending on the kind of intelligence pursued. This research investigated KDD methods that can directly benefit I-METL stakeholders. One goal of this effort was to provide a means for stakeholders to gain an increased understanding of the existing data and data relationships. Another goal was to foster the discovery of new and hidden relationships from the dataset. Methods that will assist with data exploration and cognition also were researched. The two disparate methodologies investigated produced positive results for the KDD process and offer many potential benefits in a real-world deployment scenario. The prototype software developed validated these results and provided insights into future research possibilities.

Subject Categories:

  • Information Science
  • Computer Programming and Software

Distribution Statement:

APPROVED FOR PUBLIC RELEASE