bit longer version here
https://iwringer.wordpress.com/2015/07/23/what-do-we-need-from-a-iot-analytics-platform/

On Thu, Jul 23, 2015 at 8:37 AM, Srinath Perera <[email protected]> wrote:

> I have read and thought about this a bit. Here is my version, please
> comment.
>
> *Level 1:* Single device level analytics. Show the data in graph, map,
> send an Alarm it is too high .. etc ( we have this mostly)
>
> Tasks
>
>    1. Inbuilt analytics for well known properties like location etc
>    2. Integrate Gadget generation wizard so users can build their own
>    graphs with support for realtime graphs
>    3. Setup alerts from the charts or UI ( this is realtime analytics)
>
>
> *Level 2:* analytics across multiple devices - all, groups, hierarchy ..
> aggregate across
>
>    1. Add support for groups and aggregation for Gadget generation wizard
>    integration.
>    2. Support to write custom queries if needed
>
>
> *Level 3: *Predictive analytics - this is three things, a) classify b)
> predict next value or  c) detect anomalies. We should be able to let them
> do via wizard .. at least basic version.
>
> Ability to select a set of data and jump to ML Wizard for exploration and
> processing
>
>
>    1. Classification - apply available algorithm, build a model, and
>    either publish to registry or setup query/ alert using the model
>    2. Next value - same as above. Need time series support as well.
>    3. Anomaly detection -  integrate with Seshika’s work via ML wizard.
>    This should need time series related anomaly detection as well.
>
>
> --
> ============================
> Blog: http://srinathsview.blogspot.com twitter:@srinath_perera
> Site: http://people.apache.org/~hemapani/
> Photos: http://www.flickr.com/photos/hemapani/
> Phone: 0772360902
>
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-- 
============================
Srinath Perera, Ph.D.
   http://people.apache.org/~hemapani/
   http://srinathsview.blogspot.com/
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