NDLI: Evolutionary computation based nonlinear transformations to low dimensional spaces for sensor data fusion and Visual Data Mining

Content Provider	IEEE Xplore Digital Library
Author	Valdes, J.J.
Copyright Year	2010
Description	Author affiliation: National Research Council Canada, Institute for Information Technology, 1200 Montreal Rd. Bldg M50, Ottawa, ON K1A 0R6, Canada (Valdes, J.J.)
Abstract	Data fusion approaches are nowadays needed and also a challenge in many areas, like sensor systems monitoring complex processes. This paper explores evolutionary computation approaches to sensor fusion based on unsupervised nonlinear transformations between the original sensor space (possibly highly-dimensional) and lower dimensional spaces. Domain-independent implicit and explicit transformations for Visual Data Mining using Differential Evolution and Genetic Programming aiming at preserving the similarity structure of the observed multivariate data are applied and compared with classical deterministic methods. These approaches are illustrated with a real world complex problem: Failure conditions in Auxiliary Power Units in aircrafts. The results indicate that the evolutionary approaches used were useful and effective at reducing dimensionality while preserving the similarity structure of the original data. Moreover the explicit models obtained with Genetic Programming simultaneously covered both feature selection and generation. The evolutionary techniques used compared very well with their classical counterparts, having additional advantages. The transformed spaces also help in visualizing and understanding the properties of the sensor data.
Starting Page	1
Ending Page	8
File Size	809485
Page Count	8
File Format	PDF
ISBN	9781424469093
e-ISBN	9781424469116
DOI	10.1109/CEC.2010.5585951
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-18
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Genetic programming Visualization Data mining Aircraft Engines Optimization Mathematical model
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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