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@article{145478,
        author = {K.Srinivasulu and K. Muni Kumar},
        title = {Enhanced Technique For Data Cleaning In Database},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {10},
        pages = {778-782},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=145478},
        abstract = {Data cleaning is a procedure of redressing or expelling of mistaken information caused by inconsistencies, differences, keying botches, missing bits, and so on to make steady and solid data. Content documents are utilized to store straightforward data and which can be additionally tricky regarding filthy information. In this paper we have given an answer for cleanup straightforward content document utilizing a few Data cleaning forms. In spite of the fact that we utilize content documents so frequently however there is no such powerful technique exists to tidy up content records. As data cleaning assumes an essential part for choice administration which is rely upon excellent information. So we have executed an arrangement of strategies to clean content records. Here we utilize content documents to store information in forbidden configuration and our framework checks whether there exist any mistake lastly endeavor to right or expel the blunders as per diverse calculations.},
        keywords = {Data Dictionary, Date ValidatinRules, ETL, Gender Validation Rules. Metaphone.},
        month = {},
        }