• DEVIATION RATIO BALANCE METHOD TO RECOVER MISSING VALUES IN DATA MINING

Abstract

In the area of data mining, data preparation is one of the fundamental stage. If there is any missing value in the existing record, it makes hard the data preparation and analysis. Whereas, Data preparation and preprocessing, is an established key pre-requisite of successful data mining with its aim to discover and explore something new form the recorded available facts in a specific database. To overcome the hardship, problem and situation, certain statistical methods and techniques are to be employed during the data preparation. There after we can recover its incompleteness or missing data and reduce ambiguities. In this paper, we introduced a method by which missing attributes values are replaced by the best and closest fit values.