The fourth edition of Data Mining: Concepts and Techniques provides theories, guidelines, and techniques for extracting patterns, knowledge, and models from various types of data for a variety of applications. It focuses on the techniques used in knowledge discovery from data, often known as KDD, to extract patterns and knowledge from large data sets. It concentrates on the viability, applicability, efficiency, and scalability of data mining methods for massive data sets. The authors begin by introducing the idea of data mining before going on to describe the procedures for preprocessing, characterising, and storing data. They then divide the data mining techniques into a number of key tasks, offering ideas and techniques for finding common patterns, relationships, and correlations in huge data sets, data classification and model building, cluster analysis, and outlier detection. ideas, and methods for deep learning are systematically introduced as one chapter. Finally, the book covers the trends, applications, and research frontiers in data mining.