scholarly journals Outlier Mining Methods Based on Graph Structure Analysis

2019 ◽  
Vol 7 ◽  
Author(s):  
Pablo Amil ◽  
Nahuel Almeira ◽  
Cristina Masoller
2017 ◽  
pp. 1-25 ◽  
Author(s):  
Yurii Nikolaevich Orlov ◽  
Yulia Alekseevna Parfenova

2012 ◽  
Vol 22 (5) ◽  
pp. 713-725 ◽  
Author(s):  
Jin Tang ◽  
Bo Jiang ◽  
Chin-Chen Chang ◽  
Bin Luo

2011 ◽  
Vol 48-49 ◽  
pp. 84-87
Author(s):  
Tong He ◽  
Shang Hui Jia

According to the affective model based on rough sets and by combining with rough graph theory, this paper presents a new method to mine affective transition law. This method is a graph structure analysis method of analyzing algebra relationships among rough sets. Simulation shows that the new method is reasonable.


Author(s):  
M. Iwatsuki ◽  
Y. Kokubo ◽  
Y. Harada ◽  
J. Lehman

In recent years, the electron microscope has been significantly improved in resolution and we can obtain routinely atomic-level high resolution images without any special skill. With this improvement, the structure analysis of organic materials has become one of the interesting targets in the biological and polymer crystal fields.Up to now, X-ray structure analysis has been mainly used for such materials. With this method, however, great effort and a long time are required for specimen preparation because of the need for larger crystals. This method can analyze average crystal structure but is insufficient for interpreting it on the atomic or molecular level. The electron microscopic method for organic materials has not only the advantage of specimen preparation but also the capability of providing various information from extremely small specimen regions, using strong interactions between electrons and the substance. On the other hand, however, this strong interaction has a big disadvantage in high radiation damage.


2009 ◽  
Vol 2009 (30) ◽  
pp. 209-214 ◽  
Author(s):  
P. S. Dubinin ◽  
I. S. Yakimov ◽  
O. E. Piksina ◽  
Y. I. Yakimov ◽  
A. N. Zaloga
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