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

机译:基于灰色趋势关系分析的数据挖掘方法的研究与应用

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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.
机译:分析了数据库中“差”信息的特点和“差”信息数据挖掘的要求。基于灰色趋势关系学位和一般系统理论,研究了灰度趋势关系系统模型。作为该模型的应用,提出了灰度趋势聚类方法。基于在教学评估中一些考试文件的痕迹数据,各种文件由灰色趋势聚类方法聚集,聚类结果符合事实。它表明灰色趋势聚类方法有效,方便实用。灰色趋势关系聚类是灰色趋势关系系统中包含的灰色关系分析方法之一。使用它来挖掘数据库中的“差”信息将是数据挖掘方法的重要发展。

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