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On Finding Bi-objective Pareto-optimal Fraud Prevention Rule Sets for Fintech Applications. (arXiv:2311.00964v1 [cs.LG])
cs.LG updates on arXiv.org arxiv.org
Rules are widely used in Fintech institutions to make fraud prevention
decisions, since rules are highly interpretable thanks to their intuitive
if-then structure. In practice, a two-stage framework of fraud prevention
decision rule set mining is usually employed in large Fintech institutions.
This paper is concerned with finding high-quality rule subsets in a
bi-objective space (such as precision and recall) from an initial pool of
rules. To this end, we adopt the concept of Pareto optimality and aim to find …
applications arxiv decision decisions fintech framework fraud fraud prevention mining paper pareto practice prevention rules set stage