thesis

Cost-based statistical methods for fraud detection. Prediction of never-paying customers considering individual risk

Telecommunication providers not only offer services but increasingly finance consumer devices. Credit scoring and the detection of fraud for new account applications gained importance as standard credit approval processes showed to fall short for new …

Clustering time-series. An overview about different application contexts of time-series clustering

Time-series are becoming more and more important in the digitized industry 4.0. from forecasting of sales to increase the profit in retail industry, to real time streamed analysis for fraud detection, intrusion-detection, to medical applications e.g. …