The Application and Analysis of Data Mining in Clustering Data of Petroleum Pipeline

DOI

10.2991/iccasm.2012.392How to use a DOI?

Keywords

Data mining, K-means, SOFM neutral network, Multiple regression analysis.

Abstract

Adopting the methods of the K-means and the SOFM neutral network in the data mining and basing on the characteristics of data of petroleum pipeline, a system is built that fits for the data mining and the evaluation on the effects of the clustering data. It is shown that the effects of this data mining are the best by comparison between the two results of the clustering data by using the multiple regression analysis.

Copyright

© 2012, 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  - Donghua Yu
AU  - Shuangshuang Sun
AU  - Yan Shen
AU  - Wenlu Zhou
PY  - 2012/08
DA  - 2012/08
TI  - The Application and Analysis of Data Mining in Clustering Data of Petroleum Pipeline
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 1532
EP  - 1535
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.392
DO  - 10.2991/iccasm.2012.392
ID  - Yu2012/08
ER  -