KPI Prediction Algorithm Based on Phase Space Reconstruction and Support Vector Machine

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/).

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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  -