Minecraft Adventures B2G1 Free
 
 

Special Offers see all

Enter to WIN a $100 Credit

Subscribe to PowellsBooks.news
for a chance to win.
Privacy Policy

Visit our stores


    Recently Viewed clear list


    Q&A | August 26, 2015

    Christopher Moore: IMG Powell’s Q&A: Christopher Moore



    Note: Join us this Thursday, August 27, at Powell's Books at Cedar Hills Crossing for an author event with Christopher Moore. Describe your latest... Continue »
    1. $18.89 Sale Hardcover add to wish list

      Secondhand Souls

      Christopher Moore 9780061779787

    spacer
Qualifying orders ship free.
$32.00
List price: $50.00
Used Trade Paper
Ships in 1 to 3 days
Add to Wishlist
available for shipping or prepaid pickup only
Available for In-store Pickup
in 7 to 12 days
Qty Store Section
9 Partner Warehouse Artificial Intelligence- General

More copies of this ISBN

Data Mining Techniques for Marketing 2ND Edition

by

Data Mining Techniques for Marketing 2ND Edition Cover

 

Synopses & Reviews

Please note that used books may not include additional media (study guides, CDs, DVDs, solutions manuals, etc.) as described in the publisher comments.

Publisher Comments:

The unparalleled author team of Berry and Linoff are back with an invaluable revised edition to their groundbreaking text

The world of data mining has changed tremendously since the publication of the first edition of Data Mining Techniques in 1997. For the most part, the underlying algorithms have remained the same, but the software in which the algorithms are imbedded, the databases to which they are applied, and the business problems they are used to solve have all grown and evolved. With that in mind, Michael Berry and Gordon Linoff–the leading authorities on the use of data mining techniques for business applications–have written a new edition to show you how to harness fundamental data mining methods and techniques to solve common types of business problems.

Berry and Linoff’s years of hands-on data mining experience is reflected in every chapter of this extensively updated and revised edition. They discuss core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, clustering, and survival analysis. In addition, they provide an overview of data mining best practices. Each chapter covers a new data mining technique and then immediately explains how to apply the technique for improved marketing, sales, and customer support. The authors build on their reputation for concise, clear, and practical explanations of complex concepts, making this book the perfect introduction to data mining for both business professionals and students.

With more than forty percent new and updated material, this second edition of Data Mining Techniques shows you how to:

  • Create stable and accurate predictive models
  • Prepare data for analysis
  • Create the necessary infrastructure for data mining at your company

The companion Web site provides exercises for each chapter, plus data that can be used to test out the various data mining techniques in the book.

Synopsis:

This new edition-with more than forty percent new and updated material-shows business managers, marketing analysts, and data mining specialists how to harness fundamental data mining methods and techniques to solve common types of business problems. The authors provide an overview of data mining best practices and how to perform data mining using simple tools like Excel. More advanced chapters cover such topics as how to prepare data for analysis and how to create the necessary infrastructure for data mining at your company.

Synopsis:

Second edition.

About the Author

MICHAEL J. A. BERRY and GORDON S. LINOFF are the founders of Data Miners, Inc., a consultancy specializing in data mining. They have jointly authored some of the leading data mining titles in the field, Data Mining Techniques, Mastering Data Mining, and Mining the Web (all from Wiley). They each have more than a decade of experience applying data mining techniques to business problems in marketing and customer relationship management.

Table of Contents

Acknowledgments.

About the Authors.

Introduction.

Chapter 1: Why and What Is Data Mining?

Chapter 2: The Virtuous Cycle of Data Mining.

Chapter 3: Data Mining Methodology and Best Practices.

Chapter 4: Data Mining Applications in Marketing and Customer Relationship Management.

Chapter 5: The Lure of Statistics: Data Mining Using Familiar Tools.

Chapter 6: Decision Trees.

Chapter 7: Artificial Neural Networks.

Chapter 8: Nearest Neighbor Approaches: Memory-Based Reasoning and Collaborative Filtering.

Chapter 9: Market Basket Analysis and Association Rules.

Chapter 10: Link Analysis.

Chapter 11: Automatic Cluster Detection.

Chapter 12: Knowing When to Worry: Hazard Functions and Survival Analysis in Marketing.

Chapter 13: Genetic Algorithms.

Chapter 14: Data Mining throughout the Customer Life Cycle.

Chapter 15: Data Warehousing, OLAP, and Data Mining.

Chapter 16: Building the Data Mining Environment.

Chapter 17: Preparing Data for Mining.

Chapter 18: Putting Data Mining to Work.

Index.

Product Details

ISBN:
9780471470649
Subtitle:
For Marketing, Sales, and Customer Relationship Management
Author:
Berry, Michael J A
Author:
Berry, Michael J. A.
Author:
Linoff, Gordon S.
Author:
Berry, Michael J.
Publisher:
Wiley
Location:
Indianapolis
Subject:
Business
Subject:
Marketing - General
Subject:
Marketing
Subject:
Data mining
Subject:
Miscellaneous Software
Subject:
Database Management - Database Mining
Subject:
Database & Data Warehousing Technologies
Copyright:
Edition Number:
2
Edition Description:
WebSite Associated w/Book
Series Volume:
348
Publication Date:
20080421
Binding:
Electronic book text in proprietary or open standard format
Grade Level:
General/trade
Language:
English
Illustrations:
Yes
Pages:
672
Dimensions:
9.24x7.46x1.40 in. 2.17 lbs.

Other books you might like

  1. Rheumatoid Arthritis: Plan to Win New Hardcover $74.25
  2. Sin Boldly 2ND Edition DR Daves... Used Trade Paper $8.00
  3. Asking the Right Questions 7TH Edition Used Trade Paper $3.95
  4. Understanding Exposure: How to Shoot...
    Used Trade Paper $12.95
  5. Turning Numbers Into Knowledge:... Used Hardcover $21.00
  6. Complete Diving Manual Used Trade Paper $9.95

Related Subjects

Computers and Internet » Artificial Intelligence » General
Computers and Internet » Database » Design

Data Mining Techniques for Marketing 2ND Edition Used Trade Paper
0 stars - 0 reviews
$32.00 In Stock
Product details 672 pages John Wiley & Sons - English 9780471470649 Reviews:
"Synopsis" by , This new edition-with more than forty percent new and updated material-shows business managers, marketing analysts, and data mining specialists how to harness fundamental data mining methods and techniques to solve common types of business problems. The authors provide an overview of data mining best practices and how to perform data mining using simple tools like Excel. More advanced chapters cover such topics as how to prepare data for analysis and how to create the necessary infrastructure for data mining at your company.

"Synopsis" by , Second edition.
spacer
spacer
  • back to top

FOLLOW US ON...

       
Powell's City of Books is an independent bookstore in Portland, Oregon, that fills a whole city block with more than a million new, used, and out of print books. Shop those shelves — plus literally millions more books, DVDs, and gifts — here at Powells.com.