Exploring Data Mining Representations of Track Data

2009-01-3224

11/10/2009

Event
Aerospace Technology Conference and Exposition
Authors Abstract
Content
Data mining is often used to analyze data that is too voluminous or complex to analyze by hand. However, most data mining algorithms require a fixed-length vector representation, in contrast to track data, which is naturally multi-dimensional and variable in length. We explore several methods for converting flight track data to a representation appropriate for data mining, and evaluate the performance of these representations in both clustering and classification tasks. Our results show that relevant features are captured in our representations, and describe the tradeoff in representational choices.
Meta TagsDetails
DOI
https://doi.org/10.4271/2009-01-3224
Pages
10
Citation
Wolfe, S., "Exploring Data Mining Representations of Track Data," SAE Technical Paper 2009-01-3224, 2009, https://doi.org/10.4271/2009-01-3224.
Additional Details
Publisher
Published
Nov 10, 2009
Product Code
2009-01-3224
Content Type
Technical Paper
Language
English