Date Added: Dec 2010
As the authors know that data mining is concern with learning from data therefore, completeness, quality and real world data preparation, is a key prerequisite of successful data mining with its aim to discover something new from the facts already recorded in the certain database. Preparation of data is a fundamental stage of data analysis. During data preparation, the major problem occurs due to missing values, impure values and outliers. To overcome this situation, some of the statistical techniques are required to apply during the data preparation. Therefore, erroneous data may be corrected and removed, whereas missing data must be supplied or estimated.