Data Mining: The Textbook
Data Mining: The Textbook
Comprehensive textbook on data mining, 734 pages.
Authored by Charu Aggarwal
Publisher: Springer, April 2015.
The emergence of data science as a discipline requires the development of a book that goes beyond the traditional focus of books on fundamental data mining problems. More emphasis needs to be placed on the advanced data types such as text, time series, discrete sequences, spatial data, graph data, and social networks.
This comprehensive data mining book explores the different aspects of data mining, starting from the fundamentals, and subsequently explores the complex data types and their applications.
Therefore, this book may be used for both introductory and advanced data mining courses.
The chapters of this book fall into one of three categories:
The 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.
The book carefully balances mathematical details and intuition. It contains the necessary mathematical details for professors and researchers, but it is presented in a simple and
intuitive style to improve accessibility for students and industrial practitioners. Numerous illustrations, examples, and exercises are included with an emphasis on semantically
The table of contents are available here (.PDF):
A book page with book description, solution manual and other resources is available here.
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The book is available in both hard-copy and in electronic form. The hard-copy is available from the usual channels such as
Amazon, Barnes and Noble, or Springer shop. The electronic version is available here.
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DOWNLOAD CHAPTER 4. Association Pattern Mining (.PDF):Chapter4 Association Pattern Mining