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Hi,can anyone tell me that numenta supports both local & global anomaly
detection or not?
Thanks,Divyang Shah
On Monday, 11 January 2016 2:54 AM, Wakan Tanka <[email protected]> wrote:
Thank you Jeff,
this is clear example. May I ask regarding Matt's tutorials on youtube:
1. sine waves
2. hotgym prediction
3. audio stream analysis
4. geospatial tracking
5. traffic anomalies
what is spatial/temporal in those cases? I guess:
1.
- temporal - the sines periods
- spatial - building blocks of those period
2.
- temporal - patterns representing day, week, year (those that you can
see repeating when you look at plot).
- spatial - building blocks of temporal
3.
- temporal - sequence of spatial
- spatial - depends on encoder (you might or not consider of changing
e.g. volume or instruments in audio I do not know what all was Matt
considering)
4.
- spatial - vectors
- temporal - everything that is composed of vectors
5.
- spatial - ???
- temporal - ???
Is this assumptions correct:
1. From your post I've understood that spatial are building blocks for
temporal?
2. I guess that it is possible to have data where you have just spatial
data but not temporal (when you play chords at random), but not vice versa?
3. Spatial is heavily depended on encoder and temporal are just logical
consequence?
Thank you
On 01/10/2016 09:26 PM, Jeff Fohl wrote:
> Wakan -
>
> Perhaps a music analogy would be useful.
>
> Say you are playing a series of chords on a piano.
>
> Some of the chords are similar, some are not. Think of each chord as a
> pattern. This is a "spatial" pattern. The term "spatial" perhaps is
> confusing because one tends to think of physical space when hearing that
> term.
>
> "Temporal" refers to patterns over time. So, the sequence of the chords
> is a "temporal" pattern.
>
> Does that help?
>
> - Jeff
>
> On Sun, Jan 10, 2016 at 12:16 PM Wakan Tanka <[email protected]
> <mailto:[email protected]>> wrote:
>
> Thanks David,
> To be honest it did not help much :-( some example would be fine.
> Thank you
>
>
> On January 10, 2016 8:28:41 PM CET, David Ray
> <[email protected] <mailto:[email protected]>> wrote:
>
> Hi Wakan,
>
> This definition may be useful:
>
> Spatial = the relative "nearness" of two data points in terms of
> their semantic (characteristics of "meaning") attributes.
>
> Temporal (more accurately; Sequential) = refers to patterns in
> "encounter order" pertaining to discrete units of input.
>
> Was that helpful?
>
> Cheers,
> David
>
> Sent from my iPhone
>
> On Jan 10, 2016, at 6:36 AM, Wakan Tanka <[email protected]
> <mailto:[email protected]>> wrote:
>
>> Hello Matt,
>> Can you please clarify differences between temporal and
>> spatial data? I've never really get into. Thank you very much.
>>
>> On January 7, 2016 6:32:37 PM CET, Matthew Taylor
>> <[email protected] <mailto:[email protected]>> wrote:
>>
>> Divyang,
>>
>> NuPIC can run on OS X and Linux (we test on Ubuntu), and
>> Windows (if you have your compilers installed properly,
>> see the READMEs).
>>
>> If by "local and global" anomalies, you mean discrepancies
>> in short-term patterns vs long-term patterns, then yes.
>> For example, a change in hourly patterns would be just as
>> anomalous as a change in daily patterns.
>>
>> Real-time or batch is supported, but the data should be
>> temporal in nature, not entirely spatial.
>>
>> ---------
>> Matt Taylor
>> OS Community Flag-Bearer
>> Numenta
>>
>> On Thu, Jan 7, 2016 at 12:14 AM, Divyang Shah via nupic
>> <[email protected] <mailto:[email protected]>>
>> wrote:
>>
>>
>>
>> ---------- Forwarded message ----------
>> From: Divyang Shah <[email protected]
>> <mailto:[email protected]>>
>> To: "[email protected]
>> <mailto:[email protected]>"
>> <[email protected] <mailto:[email protected]>>
>> Cc:
>> Date: Thu, 7 Jan 2016 08:08:15 +0000 (UTC)
>> Subject: some information for nupic anomaly detection
>> hi,
>>
>> what are the different os and other configuration
>> support require for this project of anomaly detection?
>> do you detect both local & global anomaly?
>> it supports only for real-time data or also support
>> anomaly detection for batch data?
>>
>> Thanks,
>> Divyang Shah
>>
>>
>>
>> --
>> Sent from my Android device with K-9 Mail. Please excuse my
>> brevity.
>
>
> --
> Sent from my Android device with K-9 Mail. Please excuse my brevity.
>
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