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Parallel Predicting Algorithm Based on Support Vector Regression Machine

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4 Author(s)
Ronggang Jia ; Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China ; Yongmei Lei ; Gaozhao Chen ; Xuening Fan

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.

Published in:

Computer and Information Science (ICIS), 2012 IEEE/ACIS 11th International Conference on

Date of Conference:

May 30 2012-June 1 2012