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A sensor network data model for the discovery of spatio-temporal patterns
Betsy George
, James M. Kang
,
Shashi Shekhar
Computer Science and Engineering
Cancer Prevention and Control
Research output
:
Chapter in Book/Report/Conference proceeding
›
Chapter
Overview
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Keyphrases
Sensor Networks
100%
Spatiotemporal Pattern
100%
Sensor Data
100%
Network Information Model
100%
Knowledge Discovery
50%
Spatiotemporal
50%
Measure Data
25%
Spatio-temporal Data
25%
Series of Measurements
25%
Computationally Expensive
25%
Storage Overhead
25%
Time Dependence
25%
Memory Efficiency
25%
Expressiveness
25%
Expected Error
25%
Interesting Patterns
25%
Entire Graphs
25%
Storage Efficiency
25%
Time-varying Graphs
25%
Graph Model
25%
Conflicting Requirements
25%
High Storage
25%
Large Volumes of Data
25%
Ultra-high Frequency
25%
Characterstics
25%
Computer Science
Knowledge Discovery
100%
Data Model
100%
Sensor Network
100%
Spatiotemporal Data
50%
Efficient Algorithm
50%
Storage Overhead
50%
Case Study
50%
Time Dependence
50%
Measurement Data
50%