文章基本信息

标题：Methods and techniques to evaluate the performance of Data Cleansing Algorithms for very Large Database Systems
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作者：R. Deepa ; R Manicka Chezian
期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2016
卷号：5
期号：3
页码：0777-0785
出版社：Shri Pannalal Research Institute of Technolgy
摘要：The data cleansing algorithm has a key role in this competitive environment as for decision making considered the system requires more precise information. . Yet the inconsistency in the data submitted makes it difficult to aggregate data and analyze results which may lead to delay or data compromises in the reporting of results. This paper gives a detailed view on different algorithms which is used for cleansing very large dataset to get for the need for more consistent data. The need of cleansing algorithms is to increase the quality of dataset as well as it reduces the computational cost after filtering and ignoring the outliers. This paper also presents some methods and techniques to evaluate and master the performance of the data cleansing algorithms used for the very large database systems.
关键词：Algorithms;Dataset; cleanse; Computational Cost; outliers