What Are the Different Types of Data Mining Techniques?
Data mining generally refers to a method used to analyze data from a target source and compose that feedback into useful information. This information typically is used to help an organization cut costs in a particular area, increase revenue, or both. Often facilitated by a data-mining application, its primary objective is to identify and extract patterns contained in a given data set.
Data mining generally refers to a method used to analyze data from a target source and compose that feedback into useful information. This information typically is used to help an organization cut costs in a particular area, increase revenue, or both. Often facilitated by a data-mining application, its primary objective is to identify and extract patterns contained in a given data set. Most importantly, data mining techniques aim to provide insight that allows for a better understanding of data and its essential features. Companies and organizations can employ many different types of data mining techniques. While they may take a similar approach, all usually strive to meet different goals.
