Skip to main content Accessibility help
> Data Mining and Machine Learning

Data Mining and Machine Learning

Fundamental Concepts and Algorithms

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


The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with…

  • Add bookmark
  • Cite

Key features

  • Covers both core methods and cutting-edge research, including deep learning
  • Offers an algorithmic approach with open-source implementations
  • Short, self-contained chapters with class-tested examples and exercises allow flexibility in course design and ready reference

About the book

Access options

Check your access to the full version of this content by using one of the options below

  • Institutional login

    Log in with Open Athens, Shibboleth, or your institutional credentials

    Log in
  • Personal login

    If you have previously obtained access using your personal account

    Log in

If you should have access and can't see this content please contact customer support

Related content

Powered by UNSILO