Title :
Data mining of aviation data: the search for parallel-offset pairs
Author_Institution :
Mitre Corp., McLean, VA, USA
Abstract :
We have presented a search problem in the field of aviation that may be cast as a data mining application of spatial/temporal data. Although other formulations are available, we selected cluster analysis to solve the problem. Cluster analysis allowed an ease of conceptualization of the problem, and was available in commercial statistical software packages. Though not intended as a rigorous study of computational complexity, we note that the clustering was 20 times faster than a naive brute-force approach
Keywords :
aerospace computing; air traffic control; computational complexity; data mining; pattern clustering; search problems; statistical analysis; aviation data; cluster analysis; computational complexity; data matrix; data mining; frequency of occurrence; parallel-offset pairs; potential pair identification; search problem; spatial/temporal data; Aerospace electronics; Air traffic control; Airports; Data mining; Delay; FAA; Frequency; Scheduling; Sea level; Search problems;
Conference_Titel :
Digital Avionics Systems, 2001. DASC. 20th Conference
Conference_Location :
Daytona Beach, FL
Print_ISBN :
0-7803-7034-1
DOI :
10.1109/DASC.2001.964210
