KPI Prediction Algorithm Based on Phase Space Reconstruction and Support Vector Machine
Authors
W. Yu, W. Li, H.B. Pan
Corresponding Author
W. Yu
Available Online July 2015.
- DOI
- 10.2991/aiie-15.2015.147How to use a DOI?
- Keywords
- Key performance indicators (KPI); algorithm; prediction model
- Abstract
The key performance indicators (KPI) system is of the complexity of setting and data processing. And its effectiveness of the application to the performance evaluation results is questioned in colleges and universities. With sufficiently analyzing on the characteristics of KPI data of colleges and universities, this article putts forward a more effective KPI prediction algorithm to achieve better data processing based on Phase Space Reconstruction and Support Vector Machine, and the pre-process of multi-filtering algorithm.
- 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/).
Cite this article
TY - CONF AU - W. Yu AU - W. Li AU - H.B. Pan PY - 2015/07 DA - 2015/07 TI - KPI Prediction Algorithm Based on Phase Space Reconstruction and Support Vector Machine BT - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering PB - Atlantis Press SP - 551 EP - 553 SN - 1951-6851 UR - https://doi.org/10.2991/aiie-15.2015.147 DO - 10.2991/aiie-15.2015.147 ID - Yu2015/07 ER -