Michaelis, Stefan2018-01-052018-01-0520012001https://dl.gi.de/handle/20.500.12116/10329SummaryThe highly competitive telecommunication market demands for efficient operation of the underlying networks. The effective maintenance rises the need for accurate prognosis of prospective network loads. In this article the basic concepts for network management and traffic prognosis using machine learning or knowledge discovery techniques are introduced. The aim is to motivate the solution of similar tasks and to show limits and feasibilities.Offer prognosis, Network management, Knowledge discovery, Machine learningmaschinelles LernenNetzwerkmanagementVerkehrslastprognoseWissensentdeckungText/Journal Article1432-122X