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Real-World Data Mining: Applied Business Analytics and Decision Making

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Real-World Data Mining: Applied Business Analytics and Decision Making

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  • Your Price: $63.99
  • List Price: $79.99
  • Includes EPUB, MOBI, and PDF
  • About eBook Formats
  • This eBook includes the following formats, accessible from your Account page after purchase:

    ePub EPUB The open industry format known for its reflowable content and usability on supported mobile devices.

    MOBI MOBI The eBook format compatible with the Amazon Kindle and Amazon Kindle applications.

    Adobe Reader PDF The popular standard, used most often with the free Adobe® Reader® software.

    This eBook requires no passwords or activation to read. We customize your eBook by discreetly watermarking it with your name, making it uniquely yours.

About

Features

Use the latest data mining best practices to enable timely, actionable, evidence-based decision making throughout your organization 

  • A complete, up-to-date framework for successful data mining: processes, methods, techniques, evaluation, tools, and more
  • Includes up-to-the-minute overviews of text and web mining, sentiment analysis, and Big Data
  • Focuses on ease of understanding, while offering optimal breadth and depth throughout
  • Demystifies complex concepts with simple tutorials and modern case studies (both successes and failures)

Description

  • Copyright 2015
  • Dimensions: 6" x 9"
  • Pages: 288
  • Edition: 1st
  • Book
  • ISBN-10: 0-13-355107-5
  • ISBN-13: 978-0-13-355107-5

Use the latest data mining best practices to enable timely, actionable, evidence-based decision making throughout your organization! Real-World Data Mining demystifies current best practices, showing how to use data mining to uncover hidden patterns and correlations, and leverage these to improve all aspects of business performance.

Drawing on extensive experience as a researcher, practitioner, and instructor, Dr. Dursun Delen delivers an optimal balance of concepts, techniques and applications. Without compromising either simplicity or clarity, he provides enough technical depth to help readers truly understand how data mining technologies work. Coverage includes: processes, methods, techniques, tools, and metrics; the role and management of data; text and web mining; sentiment analysis; and Big Data integration. Throughout, Delen's conceptual coverage is complemented with application case studies (examples of both successes and failures), as well as simple, hands-on tutorials.

Real-World Data Mining will be valuable to professionals on analytics teams; professionals seeking certification in the field; and undergraduate or graduate students in any analytics program: concentrations, certificate-based, or degree-based.

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Sample Pages

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Table of Contents

Foreword     viii
Chapter 1: Introduction to Analytics     1
Chapter 2: Introduction to Data Mining     31
Chapter 3: The Data Mining Process     67
Chapter 4: Data and Methods in Data Mining     93
Chapter 5: Data Mining Algorithms     141
Chapter 6: Text Analytics and Sentiment Analysis     183
Chapter 7: Big Data Analytics     231
Index     265

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