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Data Mining,
Edition 4 Concepts and Techniques
By Jiawei Han, Jian Pei and Hanghang Tong

Publication Date: 03 Oct 2022

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.

Key Features

  • Presents a comprehensive new chapter on deep learning, including improving training of deep learning models, convolutional neural networks, recurrent neural networks, and graph neural networks
  • Addresses advanced topics in one dedicated chapter: data mining trends and research frontiers, including mining rich data types (text, spatiotemporal data, and graph/networks), data mining applications (such as sentiment analysis, truth discovery, and information propagattion), data mining methodologie and systems, and data mining and society
  • Provides a comprehensive, practical look at the concepts and techniques needed to get the most out of your data
  • Visit the author-hosted companion site, for downloadable lecture slides and errata
About the author
By Jiawei Han, Professor, Department of Computer ScienceUniversity of Illinois, Urbana Champaign, USA; Jian Pei, Simon Fraser University, Burnaby, Canada and Hanghang Tong, Associate Professor, Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA
Book details
ISBN: 9780128117606
Page Count: 752
Retail Price : £68.95
9780123748560; 9780123747655; 9780123869791; 9780124115118; 9781597492720
Instructor Resources
Upper-level undergrads and graduate students studying data mining in computer science programs. Data warehouse engineers, data mining professionals, database researchers, statisticians, data analysts, data modelers, and other data professionals working on data mining at the R&D and implementation levels
M Mawusee Foli-Awli
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