Web Reference: In this unit, we will study fundamental step in the data mining, known as data preprocessing. Data preprocessing is the process of transforming raw data into an understandable format. It is also an important step in data mining as we cannot work with raw data. OLAP tools were developed to solve multi-dimensional data analysis which stores their data in a special multi-dimensional format (data cube) with no updating facility. Data can be smoothed by fitting the data to a function, such as with linear regression involves finding the best line to fit two attributes. Multiple linear regression is an extension, where more than two attributes are involved and the data are fit to a multidimensional surface.
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