<p><strong><em>Introduction to Data Mining, </em> Second Edition,</strong> is intended for use in the Data Mining course. <br/></p><p><em>Introduction to Data Mining </em>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 organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.</p><p><strong>Teaching and Learning Experience</strong></p><p>This program will provide a better teaching and learning experience&mdash;for you and your students. It will help:</p><ul><li><strong>Present Fundamental Concepts and Algorithms:</strong> Written for the beginner, this text provides both theoretical and practical coverage of all data mining topics.</li><li><strong>Support Learning: </strong>Instructor resources include solutions for exercises and a complete set of lecture slides.</li></ul>

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

<p><em>Introduction to Data Mining</em> 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 organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.</p>

<p><i>Introduction to Data Mining</i> 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. </p>
<p><strong>The full text downloaded to your computer</strong></p>
<p>With eBooks you can:</p>
<ul>
    <li>search for key concepts, words and phrases </li>
    <li>make highlights and notes as you study </li>
    <li>share your notes with friends </li>
</ul>
<p><strong>eBooks </strong>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. </p>
<p>Upon purchase, you'll gain instant access to this eBook.</p>
<p><strong><u>Time limit</u></strong></p>
<p>The&nbsp;<strong>eBooks</strong> products do not have an expiry date. You will continue to access your&nbsp;digital&nbsp;ebook&nbsp;products whilst you have your&nbsp;Bookshelf installed.</p>

<p><b><i>Introduction to Data Mining,&nbsp;</i></b><b>Second Edition,</b>&nbsp;is intended for use in the Data Mining course.&nbsp;&nbsp;<br/></p><p><br/></p><p><i>Introduction to Data Mining&nbsp;</i>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 organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.</p><p><b><br/></b></p><p><b>Teaching and Learning Experience</b></p><p>This program will provide a better teaching and learning experience&#8212;for you and your students. It will help:<b>&nbsp;</b></p><ul> <li><b>Present Fundamental Concepts and Algorithms:</b>&nbsp;Written for the beginner, this text provides both&nbsp;theoretical and practical coverage of all data mining topics.  </li><li><b>Support Learning:&nbsp;</b>Instructor&nbsp;resources include solutions for exercises and a complete set of lecture slides.</li></ul><br/><br/>

Pang-Ning Tan

Michael Steinbach

Vipin Kumar

A digital version of the text you can personalize and read online or offline.

eTextbook

Introduction to Data Mining, Global Edition -- Pearson eText (OLP) 180 days Subscription

Introduction to Data Mining, Global Edition

A digital version of the text you can personalize and read online or offline. If your instructor has invited you to join a specific Pearson eTextbook course for your class, you will need to purchase your eText through the course invite link they provide.

Now available on

Anuj Karpatne

Introduction to Data Mining eBook: Global Edition

Introduction to Data Mining, Global Edition -- Pearson eText (OLP) 5Yr Subscription

This product is a bound, printed text book.

Print

Paperback

Introduction to Data Mining, Global Edition, 2nd edition

eTextbook

Print

Pearson eText

Pearson eTextbook: What’s on the inside just might surprise you