Comprehensive coverage of data mining concepts and techniques, including data preprocessing, classification, clustering, and association rule mining. Essential resource for students, researchers, and professionals in data mining, machine learning, and data analysis.
Data Mining Concepts and Techniques by Jiawei Han, Micheline Kamber, and Jian Pei provides an in-depth exploration of data mining concepts, techniques, and applications in the field of machine learning and data analysis. The book covers topics such as data preprocessing, classification, clustering, and association rule mining, offering valuable insights into the principles and methods of data mining.
This book is highly recommended for students, researchers, and professionals interested in data mining, machine learning, and data analysis. It provides a solid foundation in the key concepts and techniques of data mining, making it an essential resource for anyone looking to deepen their understanding of this rapidly evolving field.
Learn by Doing from Your Browser Sidebar
Simply install the browser extension and click to launch GetVM directly from your sidebar.
Choose your OS, IDE, or app from our playground library and launch it instantly.
Practice within the VM while following tutorials or videos side-by-side. Save your work with Pro for easy continuity.