The Fifth Elephant 2015
A conference on data, machine learning, and distributed and parallel computing
RC
Rohit Chatterjee
@rohitchatterjee
Using Modes for Time Series Classification
Submitted Jun 15, 2015
Section:
Crisp Talk
Technical level:
Beginner
To present methods for time series analysis other than ARIMA etc.
Outline
The time series that appear in IT monitoring environments are not always amenable to ARIMA or related methods. I have been exploring the mode as a statistic from which to build a signature for a time series. If time permits I will show how standard ML methods can be applied to these signatures for classification.
Speaker bio
Was almost a mathematician, then moved to HFT as a C++ / Perl developer, nowadays C#, Python and JavaScript. Just enough to do analytics on IT monitoring data using pandas numpy etc.
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