DFT: A Novel Algorithm for Data Cleansing

Provided by: International Journal of Computing Science and Information Technology (IJCSIT)
Topic: Big Data
Format: PDF
Data cleansing is an essential part of data mining and has become a pre-requirement before analyzing any kind of data. The data collected by an organization is enormous and full of errors and inconsistencies, which degrades the quality of data and affects the results of mining. Many algorithms have been proposed by several authors to deal with such inconsistencies. But, a little work has been done on the date type field. Being an integral part of any data the authors need to ensure that the date field associated with a database is consistent in all aspects.

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