Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICPADS.2012.149
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dc.titleVisualization for anomaly detection and data management by leveraging network, sensor and GIS techniques
dc.contributor.authorWang, Z.
dc.contributor.authorChong, C.S.
dc.contributor.authorGoh, R.S.M.
dc.contributor.authorZhou, W.
dc.contributor.authorPeng, D.
dc.contributor.authorChin, H.C.
dc.date.accessioned2014-10-09T07:40:55Z
dc.date.available2014-10-09T07:40:55Z
dc.date.issued2012
dc.identifier.citationWang, Z., Chong, C.S., Goh, R.S.M., Zhou, W., Peng, D., Chin, H.C. (2012). Visualization for anomaly detection and data management by leveraging network, sensor and GIS techniques. Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS : 907-912. ScholarBank@NUS Repository. https://doi.org/10.1109/ICPADS.2012.149
dc.identifier.isbn9780769549033
dc.identifier.issn15219097
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/91350
dc.description.abstractThis 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. © 2012 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICPADS.2012.149
dc.sourceScopus
dc.subjectAnomaly detection
dc.subjectGIS
dc.subjectMobile communication
dc.subjectNetwork
dc.subjectPrograming design
dc.subjectSensor
dc.subjectVisualization
dc.typeConference Paper
dc.contributor.departmentCIVIL & ENVIRONMENTAL ENGINEERING
dc.description.doi10.1109/ICPADS.2012.149
dc.description.sourcetitleProceedings of the International Conference on Parallel and Distributed Systems - ICPADS
dc.description.page907-912
dc.description.codenPIPSF
dc.identifier.isiut000316367500139
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