A new algorithm for clustering life course trajectories is presented and tested with large register data. Life courses … clustering result for this kind of data provides interesting subgroups with similar life course trajectories. The high sampling … information. The new algorithm deals with this problem by simultaneously clustering and identifying critical junctures for each of …

series model for each ATMs. For clustering, the succession of 7 continuous daily withdrawal seasonality parameters of ATMs is … result of Andrawis et al. (2011). This is due to clustering followed by a forecasting phase. Further, the proposed approach … yielded much smaller SMAPE values than the approach of direct prediction on the entire sample without clustering. From a …

series model for each ATMs. For clustering, the succession of seven continuous daily withdrawal seasonality parameters of … better than the result of Andrawis, Atiya, and El-Shishiny (2011). This is due to clustering followed by a forecasting phase … without clustering. From a managerial perspective, the clusterwise cash demand forecast helps the bank’s top management to …

including transaction costs. Computational results based on clustering selection are compared to those of random techniques and … show the importance of clustering in noise reduction and robust forecasting applications, in particular for enhanced index …