Machine learning based fraud detection and credit risk assessment for SME credits

Development of novel fraud detection and credit risk assessment methods for SME credits. The goal is to develop machine learning based algorithms and models that combine various types of data in order to obtain improved predictive accuracy.

Brief information

School:

Business

Status:

Completed

Period:

01.01.2017 - 01.03.2019

Overview

Development of novel fraud detection and credit risk assessment methods for SME credits. The goal is to develop machine learning based algorithms and models that combine various types of data in order to obtain improved predictive accuracy.

Facts

Type of project

Forschung

Internal organisations involved
  • Institute of Financial Services Zug (IFZ)
  • CC Financial Services (IFZ FSM)
  • CC Corporate Finance (IFZ CF)
Funding
  • KTI-HSLU als Hauptgesuchsteller/in
  • Private / Stiftungen

Persons involved: internal

Project manager
Member of project team

Publications