Data mining is a form of knowledge discovery that uses a sophisticated blend of techniques from…

Data mining is a form of knowledge discovery that uses a sophisticated blend of techniques from traditional statistics, artificial intelligence, and computer graphics. In this chapter, a brief introduction to data mining is given which includes need for data mining, data mining functionalities, and classification of data mining systems. This chapter also discusses major issues in data mining, data mining primitives, and data mining tasks, and gives syntax for data mining query language. The data mining architecture, data mining association rules for large database, and multilevel database for transaction are discussed in depth in this chapter. This chapter also discusses the concepts of classification and prediction, which are two forms of data analysis that can be used to extract models describing important data classes or predict future data trends. The different types of classification methods are explain in detail.