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From kant kodali <kanth...@gmail.com>
Subject Re: A naive ML question
Date Sun, 29 Apr 2018 10:18:39 GMT
Hi Nick,

Thanks for that idea!! Just to be more clear. The problem I am trying to
solve is that when a bunch of financial transactional data is thrown at me
I am trying to identify all possible relationships and lineage among them
without explicitly specifying what the relationships are among transactions.

On Sun, Apr 29, 2018 at 2:22 AM, Nick Pentreath <nick.pentreath@gmail.com>
wrote:

> One potential approach could be to construct a transition matrix showing
> the probability of moving from each state to another state. This can be
> visualized with a “heat map” encoding (I think matshow in numpy/matplotlib
> does this).
>
> On Sat, 28 Apr 2018 at 21:34, kant kodali <kanth909@gmail.com> wrote:
>
>> Hi,
>>
>> I mean a transaction goes typically goes through different states like
>> STARTED, PENDING, CANCELLED, COMPLETED, SETTLED etc...
>>
>> Thanks,
>> kant
>>
>> On Sat, Apr 28, 2018 at 4:11 AM, Jörn Franke <jornfranke@gmail.com>
>> wrote:
>>
>>> What do you mean by “how it evolved over time” ? A transaction describes
>>> basically an action at a certain point of time. Do you mean how a financial
>>> product evolved over time given a set of a transactions?
>>>
>>> > On 28. Apr 2018, at 12:46, kant kodali <kanth909@gmail.com> wrote:
>>> >
>>> > Hi All,
>>> >
>>> > I have a bunch of financial transactional data and I was wondering if
>>> there is any ML model that can give me a graph structure for this data?
>>> other words, show how a transaction had evolved over time?
>>> >
>>> > Any suggestions or references would help.
>>> >
>>> > Thanks!
>>> >
>>>
>>
>>

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