Accession Number:

ADA595833

Title:

Experience with a System for Manual Clustering of Air Surveillance Track Data

Descriptive Note:

General document

Corporate Author:

DEFENCE SCIENCE AND TECHNOLOGY ORGANISATION EDINBURGH (AUSTRALIA) COMMAND CONTROL COMMUNICATIONS AND INTELLIGENCE DIV

Personal Author(s):

Report Date:

2013-06-01

Pagination or Media Count:

26.0

Abstract:

Using clustering algorithms to mine air surveillance track data for groups of similar flights has the potential to facilitate a variety of capability enhancements. Since there are many algorithms that could be used, a method for assessing the quality of algorithm output is required. One potential method is to have a human expert hand-craft a clustering for a test data set, and use this manual clustering as the gold-standard against which the output of a clustering algorithm is assessed. For complex spatio-temporal data such as air surveillance track data, the manual construction of clusterings for a robust test data suite will be labour-intensive and reliant on good information technology support. This report describes an experimental system providing a user interface and workflow for performing manual clustering of air surveillance track data, and experience with a trial of the system.

Subject Categories:

  • Numerical Mathematics
  • Theoretical Mathematics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE