Title :
The Study on Gray Data Mining Model
Author :
Zhao Zhengde ; Zhan Haiming ; Xu Ning
Author_Institution :
Comput. Sci. & Eng., Shanghai Univ., Shanghai, China
Abstract :
Nowadays, most people rely on traditional data mining techniques to address business affairs. But data mining is proposed for the large amount of data, lack of effective methods to process the data that is little or incomplete, or is overall complex but has a strong regularity at a certain time or space. Grey system theory is the new method to research less data, poor information and uncertainty problem. It just makes up for the shortcomings of traditional data mining. Therefore, this paper is to combine gray system theory with data mining technology, study and improve the gray relational data mining model, and as the basic for the establishment of a gray clustering mining model. At last, this paper applies the gray data mining model to the comparison of the securities companies´ core competitiveness, thus proving the correctness and effectiveness of the model.
Keywords :
business data processing; data mining; grey systems; pattern clustering; business affairs; gray clustering mining model; gray data mining model; gray relational data mining model; grey system theory; securities companies core competitiveness; Analytical models; Companies; Correlation; Data mining; Data models; Industries; Security; clustering; correlation; data mining; gray system;
Conference_Titel :
Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4577-2120-5
DOI :
10.1109/ISdea.2012.591