A Perception of Statistical Inference in Data Mining

As we 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. This is one of the important parts of the data mining, which comes in the scene with the help of the statistical inference. The aim of the statistical techniques is to understand the patterns of correlation and causal links among the data values which is explained or making predictions for future data values as generalization.