Theoretical Approach of Search of Missing Values in Data Set using Data Mining

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Provided by: International Journal of Computer Applications
Topic: Data Management
Format: PDF
The uncontrollable expansion of the information over the internet creates a critical job to discover which information is supportive or useful for a particular user. This paper proposes a new filtering technique using rough set and clustering technique to seek out the nearest neighbor, so that the user can get the right choice for the collection of the objects which are appropriate for them. In this paper, the authors are going to find out missing values in data set by using data mining specifically with the help of filtering technique that uses a membership function which is a unique suggesting approach by combining the marking, trait, likes and features of user's information about items.
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