Time Series Prediction Based on Machine Learning

DOI

10.2991/eame-15.2015.34How to use a DOI?

Keywords

time series forecasting; machine learning; feature extraction

Abstract

Time series is an important temporal data object types, for time series prediction has great significance and wide application. This paper studies the key technologies for predicting the time series of machine learning, mainly in the following three points: (1) proposed a two-class nuclear space feature selection frame (2), a fast multi-core-based distance learning method (3) the prediction of time series based on key technologies applied to machine learning model among business intelligence .

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Q.Y. Jiang
PY  - 2015/07
DA  - 2015/07
TI  - Time Series Prediction Based on Machine Learning
BT  - Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering
PB  - Atlantis Press
SP  - 128
EP  - 129
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-15.2015.34
DO  - 10.2991/eame-15.2015.34
ID  - Jiang2015/07
ER  -