Introduction to Data Mining, Global Edition, 2nd edition

Published by Pearson (March 4, 2019) © 2019

  • Pang-Ning Tan Michigan State University
  • Michael Steinbach University of Minnesota
  • Vipin Kumar University of Minnesota
  • Anuj Karpatne University of Minnesota
Products list
Products list

This product is expected to ship within 5-7 business days for Australian customers.

Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics. Each major topic is organised into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.

The full text downloaded to your computer

With eBooks you can:

  • search for key concepts, words and phrases
  • make highlights and notes as you study
  • share your notes with friends

eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps.

Upon purchase, you'll gain instant access to this eBook.

Time limit

The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.

  • 1 Introduction
  • 2 Data
  • 3 Classification: Basic Concepts and Techniques
  • 4 Association Analysis: Basic Concepts and Algorithms
  • 5 Cluster Analysis: Basic Concepts and Algorithms
  • 6 Classification: Alternative Techniques
  • 7 Association Analysis: Advanced Concepts
  • 8 Cluster Analysis: Additional Issues and Algorithms
  • 9 Anomaly Detection
  • 10 Avoiding False Discoveries
  • Author Index

Need help? Get in touch