Abstract
Data mining is a new domain that has elevated the confluence of numerous disciplines with massive databases. The inspiring stimulus behind data mining is that these massive databases consist of information that is of high value to the dataset owners, but this information is concealed and remains uncovered. The motivating fact behind the data mining is to extract valuable information from the massive database which is closely related to exploratory data analysis. The exploration and analysis of massive data are extremely difficult and require huge computational time for analyzing the data. The visualization of data mining assists to deal with complex data wherein the user is directly related to the data mining technique. There are more data visualization methods that are designed to support the exploration of huge datasets. This chapter describes the introductory part of data mining techniques and the methodologies adapted for extracting the interesting data.
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