Re: Automatically flagging expenses of interest

Interesting future idea. My current goal is to simply find outliers by value. Eg: if my electricity bill is twice what it normally is, to flag that. But as you observed, fraud detection might be possible by simply grabbing all data that an institution provides, stuffing it into metadata, and

Re: Automatically flagging expenses of interest

Maybe take a page from fraud detection and try to annotate each transaction with the hour of the day, day of the week, day of the month, and accumulated transaction volume/value when the transaction occurred. Eve

Re: Automatically flagging expenses of interest

Very interesting, thank you all. I wonder if a single user's journal would suffice for a learning dataset in this case. For me, expenses across categories of interest are those have been stable for years. Plus, I’m willing to deal with false positives (but preferably not false negatives). The

Re: Automatically flagging expenses of interest

This would probably be more useful if users can provide their own examples of abnormal and normal expenses. In that case, the model itself is probably not very difficult; I imagine a variety of off the shelf toolkits would work. To me, the harder part seems like making the workflow smooth and rob

Re: Automatically flagging expenses of interest

There is a kind of machine learning problem called outlier detection. I think sciki-learn library is a good starting point if we want to use ML techniques. But in our case, I feel the definition of “abnormal” varies on different personal situations. It might be tricky to formulate the problem prope

Re: Automatically flagging expenses of interest

Definitely! That's what I had in mind. Would you or others on this list have experience in how to frame the problem from a deep learning classification problem, what tools/libraries to use, and such? Pointers appreciated. On Tuesday, January 23, 2024 at 8:08:31 AM UTC-8 char...@gmail.com wrote:

Re: Automatically flagging expenses of interest

Sounds like a good opportunity for deep learning classification problem. On Friday, January 19, 2024 at 11:45:35 AM UTC+1 Red S wrote: > I'm curious, has anyone setup Beancount scripts or reports to flag > expenses that might need further attention? The situation that made me > think about this