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Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems) by Jiawei Han, Jian Pei, Hanghang Tong, Micheline Kamber is a nonfiction available to read on EtoBox.

What is Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems) about?

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. Presents a comprehensive new chapter on deep learning, including improving training of deep learning models, convolutional neura

Who reads Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems)?

Author

Jiawei Han, Jian Pei, Hanghang Tong, Micheline Kamber

Publisher

Elsevier Science & Technology; Morgan Kaufmann

Published

2022

Language

EN

ISBN

9780128117613

Category

nonfiction

Subjects

Computer Science, Stem

Rating

3.83 / 5 (158 ratings)

Updated

2026-03-14