This paper deals with nesting based weak multi-valued dependencies (n-wMVD) which can handle multi-valued attributes and redundancy removal. Our contributions ...
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Abstract. Data Cleaning is a process for determining whether two or more records defined differently in database, represent the same real world object.
Sep 3, 2012 · One way of eliminating redundancy is by retrieving similar records using tokens formed on prominent attributes. Another approach is to use ...
This paper deals with nesting based weak multi-valued dependencies (n-wMVD) which can handle multi-valued attributes and redundancy removal. Our contributions ...
Nesting based weak multi-valued dependencies (n-wMVD) which can handleMulti-valued attributes and redundancy removal and the applicability of this approach ...
ABSTRACT. Data Cleaning is a process for determining whether two or more records defined differently in database, represent the same real world object.
This paper propose an efficient data cleaning by using extended Conditional Functional Dependencies (eCFD's), which is an extension of Conditional Functional ...
One way of eliminating redundancy is by retrieving similar records using tokens formed on prominent attributes. Another approach is to use Conditional ...
Data Cleaning helps in reducing redundancy by determining whether two or more records defined differently in database represent the same real world object.
Sangeeta Viswanadham , Vatsavayi Valli Kumari : An efficient approach to identify n-wMVD for eliminating data redundancy. CUBE 2012: 464-469.