Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
12-2012
Abstract
This paper studies the importance of visualization for discerning and interpreting patterns of data and its application for solving real problems, such as anomaly detection and data management. There are various ways to realize visualization to cater to the needs of numerous real life applications. Depending on needs, a combination of some of these ways may be required for presenting an effective visualization. The authors present visualization schemes for anomaly detection/condition monitoring and data management by leveraging network techniques and combining them with modern techniques such as sensor, database, mobile communication, GPS and GIS techniques. Two case studies are presented and analyzed. By stepping through the design and implementation processes of these projects, this paper aims to serve as a guide for other designers or researchers to create visual analysis tools or implement projects requiring such visualization.
Keywords
Anomaly detection, GIS, Mobile communication, Network, Programing design, Sensor, Visualization
Discipline
Geographic Information Sciences | Numerical Analysis and Scientific Computing
Research Areas
Intelligent Systems and Optimization
Publication
2012 IEEE International Conference on Parallel and Distributed Systems 18th ICPADS: December 17-19, Singapore: Proceedings
First Page
907
Last Page
912
ISBN
9780769549033
Identifier
10.1109/ICPADS.2012.149
Publisher
IEEE
City or Country
Piscataway, NJ
Citation
1
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/ICPADS.2012.149
Included in
Geographic Information Sciences Commons, Numerical Analysis and Scientific Computing Commons