DocumentCode
1862468
Title
Data mining of aviation data: the search for parallel-offset pairs
Author
DeArmon, James
Author_Institution
Mitre Corp., McLean, VA, USA
Volume
2
fYear
2001
fDate
37165
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Avionics Systems, 2001. DASC. 20th Conference
Conference_Location
Daytona Beach, FL
Print_ISBN
0-7803-7034-1
Type
conf
DOI
10.1109/DASC.2001.964210
Filename
964210
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