Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge, and models from various kinds of data for diverse applications. Specifically, it delves into the processes for uncovering patterns and knowledge from massive collections of data, known as knowledge discovery from data, or KDD. It focuses on the feasibility, usefulness, effectiveness, and scalability of data mining techniques for large data sets.
After an introduction to the concept of data mining, the authors explain the methods for preprocessing, characterizing, and warehousing data. They then partition the data mining methods into several major tasks, introducing concepts and methods for mining frequent patterns, associations, and correlations for large data sets; data classificcation and model construction; cluster analysis; and outlier detection. Concepts and methods for deep learning are systematically introduced as one chapter. Finally, the book covers the trends, applications, and research frontiers in data mining.
Author: Jiawei Han,Jian Pei,Hanghang Tong
Publisher: Elsevier Science
Publish Date: 2022-10-03
Edition: 4
ISBN: 0128117605
ISBN 13: 9780128117606
Dimension: Length: 7.25 inches, Width: 1.25 inches, Height: 8.75 inches
Weight: Weight: 2.5573622392 pounds
Binding: Paperback
Pages: 752
Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge, and models from various kinds of data for diverse applications. Specifically, it delves into the processes for uncovering patterns and knowledge from massive collections of data, known as knowledge discovery from data, or KDD. It focuses on the feasibility, usefulness, effectiveness, and scalability of data mining techniques for large data sets.
After an introduction to the concept of data mining, the authors explain the methods for preprocessing, characterizing, and warehousing data. They then partition the data mining methods into several major tasks, introducing concepts and methods for mining frequent patterns, associations, and correlations for large data sets; data classificcation and model construction; cluster analysis; and outlier detection. Concepts and methods for deep learning are systematically introduced as one chapter. Finally, the book covers the trends, applications, and research frontiers in data mining.
Author: Jiawei Han,Jian Pei,Hanghang Tong
Publisher: Elsevier Science
Publish Date: 2022-10-03
Edition: 4
ISBN: 0128117605
ISBN 13: 9780128117606
Dimension: Length: 7.25 inches, Width: 1.25 inches, Height: 8.75 inches
Weight: Weight: 2.5573622392 pounds
Binding: Paperback
Pages: 752