Parallel Predicting Algorithm Based on Support Vector Regression Machine

Abstract

Using support vector regression machine to predict a large-scale dataset, which will take a long time. In order to solve the problem, this paper proposes a parallel predicting algorithm based on sample separation, and introduces the design and implementation of the algorithm. The performance of the algorithm has been evaluated and analyzed with KDD99 dataset on the ZQ3000 cluster. Experimental results show that the algorithm not only effectively reduces the time of predicting dataset, but also keeps high accuracy rate.