DocumentCode
813588
Title
Making Sense of Sensor Data
Author
Cook, Diane J.
Author_Institution
Washington State Univ., Pullman
Volume
6
Issue
2
fYear
2007
Firstpage
105
Lastpage
108
Abstract
Sensors pervade our high-tech world - they link available computational power with physical applications. Sensors are rapidly catching up with computing devices in popularity and widespread use. As they become more varied and easy to use, the need to analyze sensor data grows. Scientists must understand sensor data for an extremely varied range of tasks, such as diagnosing automobiles, programming robots, analyzing traffic patterns, detecting terrorist threats, assuring the well-being of elderly persons living at home, and monitoring wildlife habitats.
Keywords
data handling; ubiquitous computing; data analysis; multidimensional data; sensor data; Algorithm design and analysis; Clustering algorithms; Data analysis; Data compression; Filters; Multidimensional systems; Neural networks; Principal component analysis; Sensor phenomena and characterization; Singular value decomposition; Episode Discovery; Principle Components Analysis; Singular Value Decomposition; association analysis; clustering algorithms; data analysis; sensor data; sensors;
fLanguage
English
Journal_Title
Pervasive Computing, IEEE
Publisher
ieee
ISSN
1536-1268
Type
jour
DOI
10.1109/MPRV.2007.37
Filename
4160613
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