Application of Data Mining in Beam Status Descriptive Modeling

XIE Dong; LI Wei-Min; XUAN Ke; HE Duo-Hui

Chinese Physics C> 2005, Vol. 29> Issue(4) : 424-429

Application of Data Mining in Beam Status Descriptive Modeling

National Synchrotron Radiation Laboratory University of Science & Technology of China,Hefei 230029,China

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Abstract：
cluster analysis is an effective method for describing colony character. hower, as the size of mined databases increased ,it is a complex problem in searching for the extremum of score function. in this paper, we propose a novel technique and apply it in beam current descriptive modeling. our experiments show that the method is quick and efficient .as reproducibility is an important specific of a storage ring, the clustering model is helpful for machine study and decision–making.

References

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XIE Dong, LI Wei-Min, XUAN Ke and HE Duo-Hui. Application of Data Mining in Beam Status Descriptive Modeling[J]. Chinese Physics C, 2005, 29(4): 424-429.

XIE Dong, LI Wei-Min, XUAN Ke and HE Duo-Hui. Application of Data Mining in Beam Status Descriptive Modeling[J]. Chinese Physics C, 2005, 29(4): 424-429. shu

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Received: 2004-07-14
Revised: 1900-01-01

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沈阳化工大学材料科学与工程学院沈阳 110142

Application of Data Mining in Beam Status Descriptive Modeling

Corresponding author: XIE Dong,

National Synchrotron Radiation Laboratory University of Science & Technology of China,Hefei 230029,China

Received Date: 2004-07-14
Accepted Date: 1900-01-01
Available Online: 2005-04-05

Abstract: cluster analysis is an effective method for describing colony character. hower, as the size of mined databases increased ,it is a complex problem in searching for the extremum of score function. in this paper, we propose a novel technique and apply it in beam current descriptive modeling. our experiments show that the method is quick and efficient .as reproducibility is an important specific of a storage ring, the clustering model is helpful for machine study and decision–making.