Abstract: Various embodiments of the present disclosure provide methods, apparatus, systems, computing entities, and/or the like, for providing a recommendation of a decision for an input case. According to some aspects, a method is provided. The method generally comprises receiving an input case data object; generating an input feature data object based at least in part on input case features of the input case data object; selecting a subgraph-based data structure from a graph-based data structure, the subgraph-based data structure identifying a subset of historical case data objects; generating a feature data model based at least in part on traversing the subgraph-based data structure; selecting a historical case cohort based at least in part on comparing the feature data model with the input feature data object; and providing a recommendation data object based at least in part on the historical case cohort.

Abstract: This invention relates to reimbursement of travel expenses. In a first embodiment of the present invention, a computer-implemented method processes a travel expense voucher. The method determines whether the travel expense voucher satisfies a condition. If the travel expense voucher satisfies the condition, the method allows a payment corresponding to the travel expense voucher. If the travel expense voucher does not satisfy the condition, the method provides an interface to perform an audit of the travel expense voucher.

Abstract: This invention relates to reimbursement of travel expenses. In a first embodiment of the present invention, a computer-implemented method processes a travel expense voucher. The method determines whether the travel expense voucher satisfies a condition. If the travel expense voucher satisfies the condition, the method allows a payment corresponding to the travel expense voucher. If the travel expense voucher does not satisfy the condition, the method provides an interface to perform an audit of the travel expense voucher.