Telecommunication Data Mining Based on Mobile Information Node

What is it about?

In this paper, one data mining method based on mobile information node, rough set and neural network is introduced. It analyses the changing laws of nodes from moving direction and moving distance, sets two-layer network as the information distinguishing system and simplifies the learning and training sample sets of neural network using rough set method.

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Why is it important?

On the basis of changing laws of mobile information nodes, the method normalizes the input and output data and deletes the redundant data and attributes in the input information table, resulting in a simplified attribute set. Finally, it learns and trains with simplified sample set, until achieving qualified mining accuracy.