Abstract: A system may receive a cluster prediction requirement. The system may determine a first node conglomerate by sorting a first dataset into a first plurality of nodes. The system may determine a plurality of attributes by sorting a second dataset associated with the cluster prediction requirement. The system may determine a second node conglomerate for each of the plurality of attributes. A node confidence score may be assigned to each of the second plurality of nodes. The system may determine a node graph based on a comparison between the first node conglomerate and the second node conglomerate. The node graph may be iteratively modified based on a node optimization threshold value to generate a harmonized node graph. The node optimization threshold value may be based on a map confidence score allotted to the node graph.

Abstract: A system may receive a cluster prediction requirement. The system may determine a first node conglomerate by sorting a first dataset into a first plurality of nodes. The system may determine a plurality of attributes by sorting a second dataset associated with the cluster prediction requirement. The system may determine a second node conglomerate for each of the plurality of attributes. A node confidence score may be assigned to each of the second plurality of nodes. The system may determine a node graph based on a comparison between the first node conglomerate and the second node conglomerate. The node graph may be iteratively modified based on a node optimization threshold value to generate a harmonized node graph. The node optimization threshold value may be based on a map confidence score allotted to the node graph.

Abstract: A decision management system simulates a communications network service deployment using business and technology changeable parameters, a base case model, a network cost model and a bandwidth model. The simulations may be performed for different sets of changeable parameters to generate multiple candidate solutions. These solutions are analyzed to identify a solution for deploying the communications network service.

Abstract: A decision management system simulates a communications network service deployment using business and technology changeable parameters, a base case model, a network cost model and a bandwidth model. The simulations may be performed for different sets of changeable parameters to generate multiple candidate solutions. These solutions are analyzed to identify a solution for deploying the communications network service.