A generalised regression algorithm for Web page categorisation
Neural Computing and Applications
Hotmap: Looking at Geographic Attention
IEEE Transactions on Visualization and Computer Graphics
Capturing aesthetic intention during interactive evolution
Computer-Aided Design
A general regression neural network
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Online Geovisualization with Fast Kernel Density Estimator
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Clustering and Visualizing Geographic Data Using Geo-tree
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Uncovering locally characterizing regions within geotagged data
Proceedings of the 22nd international conference on World Wide Web
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In this paper, we propose a neural-network-based visualization system of geographic tendency. In general, there are some needs of understanding statistical data of geographic tendency, such as geographic marketing data, real-estate prices, and so on. The main purpose of the proposal is to visualize the tendency of these data online with interactive mapping systems, such as Google Maps. The proposed system generates translucent images of a heatmap, which shows the geographic tendency like thermograph. It consists of two steps: (1) construction of a tendency model with a neural network, (2) determine the color scale for the output heatmap. As for (1), a general regression neural network (GRNN) is employed to compose a tendency model by function approximation. As for (2), the output color scale is optimized and the heatmap is finally generated using the composed tendency model.