Data Mining - Concepts and Techniques (Paperback, 4th edition)

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.

General

Imprint:	Morgan Kaufmann Publishers In
Country of origin:	United States
Series:	The Morgan Kaufmann Series in Data Management Systems
Release date:	October 2022
First published:	2023
Authors:	Jiawei Han • Jian Pei • Hanghang Tong
Dimensions:	235 x 191 x 36mm (L x W x T)
Format:	Paperback
Pages:	752
Edition:	4th edition
ISBN-13:	978-0-12-811760-6
Categories:	Books > Computing & IT > Applications of computing > Databases > Data capture & analysis Books > Computing & IT > Applications of computing > Databases > Data mining
LSN:	0-12-811760-5
Barcode:	9780128117606

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