prediction models are built with five different data mining algorithms. The accuracy of the generated models is analysed. The …

This work is related to the data mining process, Business Intelligence technology and forecasting algorithms. This … paper analyzes the forecasting algorithms, their evaluation methods and data mining technologies. There are a number of … forecasting algorithms. Often there are questions how to choose the algorithm for prediction and how to prepare for work with a …

algorithms for the problem. Specifically, we provide algorithms for the general lot-sizing problem with bounded inventory and … properties and the results on the lot-sizing prob- lems with bounded inventory, we present improved and new algorithms for the … problem. Specifically, we provide algorithms for the general lot-sizing problem with bounded inventory and lost-sales, the …

convex constraints. For these problems, sandwich algorithms can be used to de- termine an inner and outer approximation … quality guarantee to the decision maker. In this paper, we extend higher dimensional sandwich algorithms in three different … combination of easy calculation and easy interpretation makes this measure very suitable for sandwich algorithms. Thirdly, we show …