Analysis of Data Cleansing Approaches Regarding Dirty Data - A Comparative Study

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Provided by: International Journal of Computer Applications
Topic: Data Management
Format: PDF
Data Cleansing is an activity involving a process of detecting and correcting the errors and inconsistencies in data warehouse. It deals with identification of corrupt and duplicate data inherent in the data sets of a data warehouse to enhance the quality of data. The paper was directed at investigating some existing approaches and frameworks to data cleansing. That attempted to solve the data cleansing problem and came up with their strengths and weaknesses which led to the identification of gabs in those frameworks and approaches.
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