Research and Application of Data Mining Method Based on Gray Trend Relational Analysis

Zhijun Li, Lei Zhang, Mianyun Chen, Weiwei Wang
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引用次数: 9

Abstract

The characteristics of "poor" information in database and the requirement of "poor" information data mining are analyzed. Based on gray trend relational degree and general system theory, the model of gray trend relational system is investigated. As an application of this model, the gray trend clustering method is presented. Based on the scanty data of some examination papers in a teaching evaluation, all kinds of papers are clustered by gray trend clustering method, and the clustering result accords with fact. It shows that the gray trend clustering method is valid, convenient and practical. Gray trend relational clustering is one of gray relational analysis methods that included in the gray trend relational system. Using it to mine the "poor" information in the database will be an important development to the data mining method.
基于灰色趋势关联分析的数据挖掘方法研究与应用
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