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Paper Details
Paper Title
A Brief Survey on Issues & Approaches of Data Cleaning
Authors
Ayanka Ganguly
Abstract
In a data warehouse management process cleaning raw data is an essential part. Data cleaning is a process of detecting and correcting inaccurate data. Before loading data into the data warehouse data needs to be cleaned thoroughly which in turn will also improve the quality of data too. Hence for accurate data, improving the data quality is necessary. Data may include text errors, quantitative errors or even duplication of the data. Many researchers have proposed various algorithms till now in order to clean the data which removes errors and inconsistencies from the data. In this paper, I have represented the major issues, challenges and approaches for cleaning data. Various tools for cleaning data have also been described.
Keywords- data cleaning, data quality, tools, challenges and approaches.
Publication Details
Unique Identification Number - IJEDR1601051Page Number(s) - 319-324Pubished in - Volume 4 | Issue 1 | February 2016DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Ayanka Ganguly, "A Brief Survey on Issues & Approaches of Data Cleaning", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 1, pp.319-324, February 2016, Available at :http://www.ijedr.org/papers/IJEDR1601051.pdf
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