Mining for Information in Accident Data

Milburn, Nelda J.; Dobbins, Lena; Pounds, Julia; Goldman, Scott; United States. Department of Transportation. Federal Aviation Administration. Office of Aviation. Civil Aerospace Medical Institute

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Mining for Information in Accident Data

2006-11-01
By Milburn, Nelda J. ; Dobbins, Lena ; Pounds, Julia ; ...

[PDF-921.72 KB]

English

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Details:

Creators:

Milburn, Nelda J. ; Dobbins, Lena ; Pounds, Julia ; Goldman, Scott

Milburn, Nelda J. ; Dobbins, Lena ; Pounds, Julia ; Goldman, Scott Less -
Corporate Creators:

United States. Department of Transportation. Federal Aviation Administration. Office of Aviation. Civil Aerospace Medical Institute
Corporate Contributors:

United States. Department of Transportation. Federal Aviation Administration. Office of Aviation. Office of Aerospace Medicine
Subject/TRT Terms:

[+]

Accident Data Air Transportation Crashes Analytic Tool Aviation Conditional Probability Crash Data Data Mining Decision Trees Graphs HFACS Probability Researchers WinMine
Publication/ Report Number:

DOT/FAA/AM-06/26
Resource Type:

Tech Report
Right Statement:

Public Domain
Geographical Coverage:

United States
Corporate Publisher:

United States. Department of Transportation. Federal Aviation Administration. Office of Aviation. Civil Aerospace Medical Institute
Abstract:

This project evaluated WinMine, an analytic tool developed by Chickering, Heckerman, Meek, Platt, and Thiesson (2000) to determine its usefulness for identifying higher-order relationships in research data from dynamic and high-consequence aviation events. Traditionally, researchers have relied on several types of analyses to better understand the relationships between factors related to an outcome. However, researchers need an analytic approach that can clearly illustrate the interactions among causal factors as probabilities associated with the chain of events.
Format:

PDF
Collection(s):

FAA Civil Aerospace Medical Institute
Main Document Checksum:

[+]

urn:sha256:9e49d2f606c465540f5f2157ffa45c9e6278211c174db1278e8fb0a4e531a25e
Download URL:

https://rosap.ntl.bts.gov/view/dot/58431/dot_58431_DS1.pdf
File Type:

No Additional Files

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Mining for Information in Accident Data

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