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

[1]

. HAN Jia-Wei, Micheline Kambr. Data Mining: Concepts and Tech..niques. Beijing: China Machine Press, 2001. 70-94(in Chinese)(韩家炜，Micheline Karnhr.数据挖掘:概念与技术北京:机械工业出版社2001. 70-94)2. JIN Yu-Ming. Electronic Storage Ring Physics. Hefei: University of Sci..ence and Technology of China Press, 2001. 85-102(in Chinese)(金玉明电子储存环物理.合肥:中国科学技术大学出版社.2001:85-102)3. HAN Jia-Wei , Heikki Mannila, Padhraic Smyth. Principles of Data Mining. Beijing: China Machine Press, 2003: 180-300(in Chinese)(韩家炜，Heikki Mannila, Padhraic Smyth 数据挖掘原理北京:机械工业出版社2003: 135-206)

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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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