Data Mining

The Textbook

Nonfiction, Computers, Advanced Computing, Engineering, Computer Vision, Database Management, General Computing
Cover of the book Data Mining by Charu C. Aggarwal, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Charu C. Aggarwal ISBN: 9783319141428
Publisher: Springer International Publishing Publication: April 13, 2015
Imprint: Springer Language: English
Author: Charu C. Aggarwal
ISBN: 9783319141428
Publisher: Springer International Publishing
Publication: April 13, 2015
Imprint: Springer
Language: English

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.

Appropriate for both introductory and advanced data mining courses, Data Mining: The Textbook 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 (including those with a limited mathematical background). Numerous illustrations, examples, and exercises are included, with an emphasis on semantically interpretable examples.

Praise for Data Mining: The Textbook -

“As I read through this book, I have already decided to use it in my classes.  This is a book written by an outstanding researcher who has made fundamental contributions to data mining, in a way that is both accessible and up to date.  The book is complete with theory and practical use cases.  It’s a must-have for students and professors alike!" -- Qiang Yang, Chair of Computer Science and Engineering at Hong Kong University of Science and Technology

"This is the most amazing and comprehensive text book on data mining. It covers not only the fundamental problems, such as clustering, classification, outliers and frequent patterns, and different data types, including text, time series, sequences, spatial data and graphs, but also various applications, such as recommenders, Web, social network and privacy.  It is a great book for graduate students and researchers as well as practitioners." -- Philip S. Yu, UIC Distinguished Professor and Wexler Chair in Information Technology at University of Illinois at Chicago

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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:

Appropriate for both introductory and advanced data mining courses, Data Mining: The Textbook 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 (including those with a limited mathematical background). Numerous illustrations, examples, and exercises are included, with an emphasis on semantically interpretable examples.

Praise for Data Mining: The Textbook -

“As I read through this book, I have already decided to use it in my classes.  This is a book written by an outstanding researcher who has made fundamental contributions to data mining, in a way that is both accessible and up to date.  The book is complete with theory and practical use cases.  It’s a must-have for students and professors alike!" -- Qiang Yang, Chair of Computer Science and Engineering at Hong Kong University of Science and Technology

"This is the most amazing and comprehensive text book on data mining. It covers not only the fundamental problems, such as clustering, classification, outliers and frequent patterns, and different data types, including text, time series, sequences, spatial data and graphs, but also various applications, such as recommenders, Web, social network and privacy.  It is a great book for graduate students and researchers as well as practitioners." -- Philip S. Yu, UIC Distinguished Professor and Wexler Chair in Information Technology at University of Illinois at Chicago

More books from Springer International Publishing

Cover of the book Air Flow Management in Raised Floor Data Centers by Charu C. Aggarwal
Cover of the book The Myriad Legacies of 1917 by Charu C. Aggarwal
Cover of the book Proactive and Dynamic Network Defense by Charu C. Aggarwal
Cover of the book Niels Bohr, 1913-2013 by Charu C. Aggarwal
Cover of the book Cohesive Subgraph Computation over Large Sparse Graphs by Charu C. Aggarwal
Cover of the book Succession Law, Practice and Society in Europe across the Centuries by Charu C. Aggarwal
Cover of the book The Bioarchaeology of Social Control by Charu C. Aggarwal
Cover of the book Big Data-Enabled Nursing by Charu C. Aggarwal
Cover of the book Entrepreneurial Learning City Regions by Charu C. Aggarwal
Cover of the book The Impact of Artists on Contemporary Urban Development in Europe by Charu C. Aggarwal
Cover of the book Statistical Approaches for Landslide Susceptibility Assessment and Prediction by Charu C. Aggarwal
Cover of the book Impacts of Tannery Operations on Guppy, Poecilia reticulata by Charu C. Aggarwal
Cover of the book The Galapagos Marine Reserve by Charu C. Aggarwal
Cover of the book Logical Foundations of Mathematics and Computational Complexity by Charu C. Aggarwal
Cover of the book Non-equilibrium Energy Transformation Processes by Charu C. Aggarwal
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy