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Data Mining : The Textbook by Charu C. Aggarwal [Aggarwal, Charu C.] is a nonfiction available to read on EtoBox.

What is Data Mining : The Textbook about?

This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues. It goes beyond the traditional focus on data mining problems to introduce advanced data types such as text, time series, discrete sequences, spatial data, graph data, and social networks. Until now, no single book has addressed all these topics in a comprehensive and integrated way. The chapters of this book fall into one of three categories: Fundamental chapters: Data mining has four main problems, which correspond to clustering, classification, association pattern mining, and outlier analysis. These chapters comprehensively discuss a wide variety of methods for these problems. Domain chapters: These chapters discuss the specific methods used for different domains of data such as text data, time-series data, sequence data, graph data, and spatial data. Application chapters: These chapters study important applications such as stream mining, Web mining, ranking, recommendations, social networks, and privacy preservation. The domain chapters also have an applied flavor. Appropriate f

Who reads Data Mining : The Textbook?

Author

Charu C. Aggarwal [Aggarwal, Charu C.]

Publisher

Springer International Publishing : Imprint : Springer

Published

2015

Language

EN

ISBN

9782015930831

Category

nonfiction

Subjects

Computer Science, Science, Mathematics

Rating

5 / 5 (1 ratings)

Updated

2026-03-24