The Fifth Elephant 2015

A conference on data, machine learning, and distributed and parallel computing

Using Modes for Time Series Classification

Submitted by Rohit Chatterjee (@rohitchatterjee) on Monday, 15 June 2015

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Section: Crisp Talk Technical level: Beginner

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To present methods for time series analysis other than ARIMA etc.


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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