The problem of forecasting time series is very widely debated. In recent years, machine learning algorithms have been very prolific in this area. This paper describes a systematic approach to building a machine learning predictive model for solving optimization problems in the banking sector. A...

The problem of forecasting time series is very widely debated. In recent years, machine learning algorithms have been very prolific in this area. This paper describes a systematic approach to building a machine learning predictive model for solving optimization problems in the banking sector. A...

Facility Network Transformation (FNT) is a strategic approach to assess and optimize industrial facility networks for new site selection, demand forecasting, and performance evaluation in customer oriented service industries such as banking and retail. In practice, FNT requirements are often...