Predictive Modeling of Large-Scale Sequential Curves Based on Clustering

Authors:
Wen Long;Huiwen Wang
Affiliations:
Research Center on Fictitious Economy & Data Science, Chinese Academy of Sciences, Beijing, China 100080;School of Economics & Management, Beijing University of Aeronautics & Astronautics, Beijing, China 100083
Venue:
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part II
Year:
2008

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Abstract

Traditional approach to predict large-scale sequential curves is to build model separately according to every curve, which causes heavy and complicated modeling workload inevitably. A new method is proposed in this paper to solve this problem. By reducing model types of curves, clustering curves and modeling by clusters, the new method simplifies modeling work to a large extent and reserves original information as possible in the meantime. This paper specifies the theory and algorithm, and applies it to predict GDP curves of multi-region, which confirms practicability and validity of the presented approach.