@inproceedings{7117cb86e4f34ffc828c78b0e413ebaf,
title = "Predictive modeling of large-scale sequential curves based on clustering",
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.",
keywords = "Curves clustering, Large-scale curves, Predictive modeling, SOM",
author = "Wen Long and Huiwen Wang",
year = "2008",
doi = "10.1007/978-3-540-69387-1\_55",
language = "英语",
isbn = "3540693866",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 2",
pages = "486--493",
booktitle = "Computational Science - ICCS 2008 - 8th International Conference, Proceedings",
edition = "PART 2",
note = "8th International Conference on Computational Science, ICCS 2008 ; Conference date: 23-06-2008 Through 25-06-2008",
}