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Data Mining : Concepts and Techniques (Fourth edition)

Part of the The Morgan Kaufmann Series in Data Management Systems series
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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.

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Product Details
0128117605 / 9780128117606
Paperback / softback
United States
xxix, 752 pages : illustrations (black and white)
24 cm
Tertiary Education (US: College) Learn More
Previous edition: published as by Jiawei Han, Micheline Kamber, Jian Pei. Amsterdam: Morgan Kaufmann, 2012.