Adaptive Data Delivery Framework for Financial Time Series Visualization
ICMB '05 Proceedings of the International Conference on Mobile Business
IEEE Transactions on Visualization and Computer Graphics
An adaptive algorithm for online time series segmentation with error bound guarantee
Proceedings of the 15th International Conference on Extending Database Technology
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Web content is consumed on devices with a significant variation in display resolution. Visualizing data is typically performed by extracting data from a database for transmission to the client and then visualizing it with a client-side Javascript library. A major challenge is to retrieve only the required data for visualization. Current approaches require programmers to manually modify their data extraction queries and do not adapt to client display characteristics. The contribution in this work is a configurable data compression method that automatically adapts the amount of data transmitted for client-side visualization based on device characteristics. We evaluate several different techniques for time series summarization and show the amount of data transmitted can be reduced by between 40% and 80% on standard data sets while preserving pixel-perfect visualization.