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Data Mining and Analysis Fundamental Concepts and Algorithms

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Authors

Mohammed J. Zaki, Rensselaer Polytechnic Institute, New York, Wagner Meira, Jr, Universidade Federal de Minas Gerais, Brazil
Published 2014

Description

The fundamental algorithms in data mining and analysis form the basis for the emerging field of data science, which includes automated methods to analyze patterns and models for all kinds of data, with applications ranging from scientific discovery to business intelligence and analytics. This textbook for senior undergraduate and graduate data mining courses provides a broad yet in-depth overview of data mining, integrating related concepts from machine learning and statistics. The main parts of the book include exploratory data analysis,…

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Key features

  • Provides a solid foundation in data mining, allowing the reader to go beyond the techniques covered in the book
  • Includes broad coverage of data mining sub-areas
  • Provides an algorithmic approach to data mining
  • Intended for both undergraduate and graduate students, as well as researchers and practitioners

About the book

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