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Time-series new paper: ASAP (#446)
* Add entry for asap. * Add ASAP pdf
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@ -19,5 +19,12 @@ The included documents are:
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basic set of operators, we easily construct more powerful combined
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operators which cover a wide set of typical applications.
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* [:scroll:](https://github.com/papers-we-love/papers-we-love/blob/master/time_series/ts-asap.pdf)
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[ASAP: Automatic Smoothing for Attention Prioritization in Streaming Time Series Visualization](http://futuredata.stanford.edu/asap/) - Kexin Rong, Peter Bailis
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Time Series smoothing method to better prioritize attention in time series
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exploration and monitoring visualizations, smooth the time series as much as
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possible to remove noise while still retaining large-scale structure. We
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develop a new technique for automatically smoothing streaming time series
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that adaptively optimizes this trade-off between noise reduction (i.e.,
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variance) and outlier retention (i.e., kurtosis).
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time_series/ts-asap.pdf
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