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Comparative Analysis of Various Data Stream Mining Procedures and Various Dimension Reduction Techniques

机译:各种数据流挖掘程序和各种降维技术的比较分析

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In recent years data mining is contributing to be the great research area, as we know data mining is the process of extracting needful information from the given set of data which will be further used for various purposes, it could be for commercial use or for scientific use .while fetching the information (mined data) proper methodologies with good approximations have to be used .In our survey we have provided the study about various data stream clustering techniques and various dimension reduction techniques with their characteristics to improve the quality of clustering, we have also provided our approach(our proposal) for clustering the streamed data using suitable procedures ,In our approach for stream data mining a dimension reduction technique have been used then after the Fuzzy C-means algorithm have been applied on it to improve the quality of clustering.
机译:近年来,数据挖掘正在成为一个伟大的研究领域,因为我们知道数据挖掘是从给定的数据集中提取必要信息的过程,该信息将进一步用于各种目的,既可以用于商业用途,也可以用于科学用途。在获取信息(挖掘的数据)时,必须使用具有良好近似性的适当方法。在我们的调查中,我们提供了有关各种数据流聚类技术和各种降维技术的研究,以提高聚类质量。还提供了我们的方法(我们的建议),以使用适当的程序对流数据进行聚类。在我们的流数据挖掘方法中,使用了降维技术,然后在其上应用Fuzzy C-means算法以提高数据质量聚类。

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