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Introduction by
Patricia Carbone, Chris Clifton, and
Bhavani Thuraisingham, guest editors
This issue of The EDGE is devoted to data mining,
sometimes called knowledge discovery in databases. Broadly defined,
data mining is a means of quickly and automatically analyzing
complex collections of data to identify trends and extract specified
information. Data mining is currently enjoying great popularity
in the trade press. The benefits of the technology have been touted
throughout the retail, marketing, and financial industries. Papers
have been presented at numerous conferences describing data mining
and its benefits. As a result, government program managers have
begun asking about this wonderful technology and how it can “cure
the common cold” within their organizations.
The articles in this issue examine MITRE’s innovative use
of data mining techniques to satisfy the requirements of our customers
in various domains. Two authors write about the use of data mining
in aviation. One looks at the use of statistical techniques to
identify dominant traffic flows in and out of congested airports,
and the other examines the use of machine learning techniques
to analyze both the structured fields and the narrative portions
of airline incident reports as a means of identifying trends pertinent
to airline safety. Two other authors also look at the application
of data mining to unstructured data, one focusing on the identification
of changes in overhead imagery and the other on text summarization
in crisis management. A final author looks at security and the
use of data mining techniques to identify intruders in a network.
The articles illustrate the range of MITRE’s technical contributions
in data mining, from advanced visionary prototypes that push the
technology, to custom solutions for solving our sponsors’
critical problems, to infrastructure for data collection and analysis.
They describe different ways in which users are able to analyze
significant amounts of data in order to facilitate their understanding
of that data and its underlying characteristics to better predict
future outcomes.
For more information, please
contact guest editors Patricia Carbone or Chris Clifton
or Bhavani Thuraisingham using the employee directory.
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August 2000,
Volume 4
Number 2 Data Mining Issue!
Text Mining by Filter Composition
What is the Origin of Data Mining?
Data Mining for Aviation Safety
Identifying Dominant Air Traffic Flows
in Complex Airspace
Detecting Changes in Overhead Imagery
Data Mining for Intrusion Detection
Download a PDF of this issue [1.1MB]
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