Regression analysis is the statistical method for defining an algorithm that describes a set of data. The advantage of regression is that it will find a pattern or trend in the data. The disadvantage of regression analysis is that the pattern may not be useful or valid. Statistical methods refers to an overgeneralized term used to classify methods for using statistical models for describing data. These methods can complement regression analysis in different data mining applications.
Data visualization is a method of organizing the data so that the user can see trends and patterns.
Whereas the other methods find the patterns, data visualization depends on the user to extract order, but the resulting graphs may provide new insights into the data. Visualization may consist of simple graphs, complex three-dimensional plots, multicolored pictures, or even animations of the data. Not a Panacea Conventional data mining will not monitor databases and reveal patterns in the data autonomously. Also, as mentioned before, data mining can locate patterns that have no meaning or use. For example, there is a very strong statistical correlation between the number of churches in a town and the number of bars in the same town.