Applying BSC-Based Resource Allocation Strategy to IDSS Intelligent Prediction

摘要

In this paper, a new data mining model is designed and constructed, the model is based on Balanced Score Card(BSC) and used for intelligent decision support system of data mining and prediction. On the one hand, based on data mining framework, the new data mining model come up with three different resource allocation mechanisms, emphasizing the understanding of the business process, focusing on data accuracy and covering the quality of data mining modeling. The BSC resource allocation mode and algorithm are designed with new insight perspective.On the other hand, the typical established case shows how the mining of resource allocation to improve the accuracy of intelligent prediction. Data mining based on BSC not only to provide an integration platform to support different mining components, but also be able to combine limited resources into reasonable mining process via using the resource evaluation analysis and resource allocation with purpose of improving the accuracy of the prediction and intelligent.