The GSP algorithm in dynamic cost prediction of enterprise

By making use of the previous result of sequential pattern mining, a projection database will be build to help decrease the scanning times of the whole database and the creation of the candidate sequence, which can make up for the weakness of the GSP. In this way, the mining efficiency is enhanced; the demand of the computing speed of the massive data is satisfied. So it is convenient to search for the right cost information from the massive data and then to proceed with cost analysis and cost prediction. The application of the improved time sequential pattern to the cost prediction in the enterprises demonstrates that this kind of computing system can enhance the accuracy and promptness of cost prediction effectively.