An Examination of Multivariate Time Series Hashing with Applications to Health Care
@article{Kale2014AnEO, title={An Examination of Multivariate Time Series Hashing with Applications to Health Care}, author={David C. Kale and Dian Gong and Zhengping Che and Y. Liu and G. Medioni and R. Wetzel and Patrick Ross}, journal={2014 IEEE International Conference on Data Mining}, year={2014}, pages={260-269} }
As large-scale multivariate time series data become increasingly common in application domains, such as health care and traffic analysis, researchers are challenged to build efficient tools to analyze it and provide useful insights. [...] Key Result Experiment results on three large-scale clinical data sets demonstrate the effectiveness of the proposed approach.Expand
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