# What are known algorithms to detect potential wrongdoings in funding distribution?

Imagine an entity with a money fund. This entity defines some budgets which it annually distributes to different applicants.

Example data set:

| party | year | funding, $K | | A | 2018 | 0 | | B | 2018 | 10 |  So in the two records we see that in 2018 applicant A got no funding and applicant B got$10K funding.

How would you search for possible wrongdoings in such a data set?

Are there any specific/advanced algorithms to do so?

I am asking to learn whether there is more to it than just the simple heuristics like "are there entities getting significant portions of funding all the time".

• "wrongdoings in an according data set" -- do you mean accounting? – amdopt Aug 29 '19 at 11:45
• no just statistical distribution of funding between entities over time. – J. Doe Aug 29 '19 at 12:01