The Integration of WEKA and Google Maps in Visualization with a Web Mash-up of Deluge Risks Tracking in E-Tracking System

In the end of the day, meteorological data becomes widely used such as e-monitoring and e-warning. It is used to predict the state of the environmental for a future time. This paper presents the integration of WEKA libraries (Waikato Environment for knowledge analysis) and Google maps API for classification and visualization in e-tracking, which is an environmental tracking. With this software developed as a meteorological data analysis tool, it can analyze resulting and visualization web applications easier and faster. Our software is a front end of WEKA that provides fundamental data mining functions such as classify, clustering, and analysis functions. It also supports pre-processing, analysis, and XML output with exporting result. After that, our software can export and display data result to Google maps API in order to display result and plot labels and visualization in different color labels on Google maps. We created our software using java ,developed on Netbeans IDE version 6.8 and tested the proposed process on meteorological data in Thailand, and the experimental results show that our proposed process can export data result to Google maps and display classification results in order to help visualize its nearly real-time and effectively.