The transactions probably describe from which counterparty assets are
transferred to another counterparty at the different stages of the transaction.
You could use graphx for that if the algorithms there are suitable for your
needs.
Still trying to understand what you mean evolve over time? Eg a
Maybe not necessarily what you want but you could, based on trans
attributes, find out initial state and end state and give it to a decision
tree to figure out if you if based on these attributes you can oreditc
tinal stage
Again, not what you asked but an idea to use ml for your data?
Kr
On Sun,
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 tran
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 wrote:
> Hi,
>
> I mea
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 wrote:
> What do you mean by “how it evolved over time” ? A transaction describes
> basically an action at
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 wrote:
>
> Hi All,
>
> I have a bunch of finan
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!
