Visualization for anomaly detection and data management by leveraging network, sensor and GIS techniques

• Main Authors: WANG, Zhaoxia, CHONG, Chee Seng, GOH, Rick S. M., ZHOU, Wanqing, PENG, Dan, CHIN, Hoong Chor
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2012
• Subjects: Anomaly detection; GIS; Mobile communication; Network; Programing design; Sensor; Visualization; Geographic Information Sciences; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/5563; https://ink.library.smu.edu.sg/context/sis_research/article/6566/viewcontent/2012_HCVisualizationAnomalyDetection_av.pdf
• Institution: Singapore Management University

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.