Re: [Nmlrg] Call for Agenda NMLRG @IETF94, Yokohama

Jérôme François <jerome.francois@inria.fr> Mon, 12 October 2015 20:21 UTC

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Date: Mon, 12 Oct 2015 22:20:57 +0200
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Subject: Re: [Nmlrg] Call for Agenda NMLRG @IETF94, Yokohama
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Hi all,

I recently introduced a fingerprinting use case on the ML that I could
present but I was wondering if it would not better to present something
about heterogenous data aggregation.

We actually build a method to aggregate multi-dimensional data within a
single tree structure without assuming any order between dimensions and
with variable granularity. It is a kind of mix between k-dimensional
tree and density-based clustering. For example, we applied it to DNS
answers aggregating both domain names and IP address in a single data
structure to be analyzed rather than an individual record inspection to
first identify time period where some divergent behavior appears.

I know that it is not ML itself but we used it is fully in the scope of
data representation and pre-processing of ML.

So, would that topic be interesting for NMLRG participants?

Best regards,
jerome

Le 08/10/2015 05:28, Sheng Jiang a écrit :
> Hi, all,
>
> We have been assigned one session of 2.5 hour for the proposed
> NMLRG (Network Machine Learning Research Group) meeting for
> IETF-94 (Yokohama) and are starting to collect agenda items for
> this session.
>
> The proposed NML RG is still in the very initial stage. So, we have very
> open scope. We do not restrict the topics. The only threshold is it should
> be relevant to network or network devices, using Machine Learning.
>
> Please send us (jiangsheng@huawei.com, brian.e.carpenter@gmail.com)
> requests for sessions and include:
>
> Name of time slot:
> Name of topic(s):
> Time requested:
> Presenter name(s):
> Brief description of the topic:
>
> More details about the Yokohama IETF can be found at
> http://www.ietf.org/meeting/94/index.html.
>
> Also, presenters please invoke discussions in the NMLRG list. We have
> limited time in the face-to-face meeting. Mail list is a good place
> to propagate and discuss the topics.
>
> Best regards,
>
> Brian & Sheng
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