**1.2 The importance of data mining**

Data mining has gotten a lot of attention in the information industry in recent years because of the widespread availability of massive quantities of data and the pressing need to transform the data into valuable information and knowledge. Business management, quality control, and market research, as well as engineering design and science discovery, will all benefit from the information and expertise acquired. Governments, private corporations, large organizations, and all industries are interested in collecting a large amount of data for business and research purposes [3, 4]. The following are some of the reasons why data mining is so important:


It's important to remember that which data mining approach to utilize is mostly determined by the amount of data accessible, the type of data, and the dimensions. Although there are evident differences in the types of challenges that each data

**Figure 1.** *An overview of data mining process.*

#### *The Concept of Data Mining DOI: http://dx.doi.org/10.5772/intechopen.99417*

mining technique is best suited for, the nature of data from the real world, as well as the complicated ways in which markets, customers, and the data that represents them, means that the data is always altering. As a result, there is no obvious law that favors one technique over another. Decisions are sometimes made depending on the availability of experienced data mining analysts in one or more techniques. The preference of one technique over the others depends more on getting good resources and good analysts (**Figure 1**) [5].
