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.pentre...@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 <kanth...@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 <jornfra...@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 <kanth...@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! >>> > >>> >> >>
