Mastering Data Mining W/Ws / Edition 1

Paperback (Print)
Buy Used
Buy Used from BN.com
$56.25
(Save 25%)
Item is in good condition but packaging may have signs of shelf wear/aging or torn packaging.
Condition: Used – Good details
Used and New from Other Sellers
Used and New from Other Sellers
from $1.99
Usually ships in 1-2 business days
(Save 97%)
Other sellers (Paperback)
  • All (18) from $1.99   
  • New (2) from $80.00   
  • Used (16) from $1.99   
Close
Sort by
Page 1 of 1
Showing All
Note: Marketplace items are not eligible for any BN.com coupons and promotions
$80.00
Seller since 2014

Feedback rating:

(149)

Condition:

New — never opened or used in original packaging.

Like New — packaging may have been opened. A "Like New" item is suitable to give as a gift.

Very Good — may have minor signs of wear on packaging but item works perfectly and has no damage.

Good — item is in good condition but packaging may have signs of shelf wear/aging or torn packaging. All specific defects should be noted in the Comments section associated with each item.

Acceptable — item is in working order but may show signs of wear such as scratches or torn packaging. All specific defects should be noted in the Comments section associated with each item.

Used — An item that has been opened and may show signs of wear. All specific defects should be noted in the Comments section associated with each item.

Refurbished — A used item that has been renewed or updated and verified to be in proper working condition. Not necessarily completed by the original manufacturer.

New
Brand new.

Ships from: acton, MA

Usually ships in 1-2 business days

  • Standard, 48 States
  • Standard (AK, HI)
$105.00
Seller since 2014

Feedback rating:

(149)

Condition: New
Brand new.

Ships from: acton, MA

Usually ships in 1-2 business days

  • Standard, 48 States
  • Standard (AK, HI)
Page 1 of 1
Showing All
Close
Sort by

Overview

"Berry and Linoff lead the reader down an enlightened path of best practices." -Dr. Jim Goodnight, President and Cofounder, SAS Institute Inc.

"This is a great book, and it will be in my stack of four or five essential resources for my professional work." -Ralph Kimball, Author of The Data Warehouse Lifecycle Toolkit

Mastering Data Mining

In this follow-up to their successful first book, Data Mining Techniques, Michael J. A. Berry and Gordon S. Linoff offer a case study-based guide to best practices in commercial data mining. Their first book acquainted you with the new generation of data mining tools and techniques and showed you how to use them to make better business decisions. Mastering Data Mining shifts the focus from understanding data mining techniques to achieving business results, placing particular emphasis on customer relationship management.

In this book, you'll learn how to apply data mining techniques to solve practical business problems. After providing the fundamental principles of data mining and customer relationship management, Berry and Linoff share the lessons they have learned through a series of warts-and-all case studies drawn from their experience in a variety of industries, including e-commerce, banking, cataloging, retailing, and telecommunications.

Through the cases, you will learn how to formulate the business problem, analyze the data, evaluate the results, and utilize this information for similar business problems in different industries.

Berry and Linoff show you how to use data mining to:Retain customer loyaltyTarget the right prospectsIdentify new markets for products and servicesRecognize cross-selling opportunities on and off the Web

The companion Web site at http://www.data-miners.com features:Updated information on data mining products and service providersInformation on data mining conferences, courses, and other sources of informationFull-color versions of the illustrations used in the book.

In their critically acclaimed book, Data Mining Techniques, Michael Berry and Gordon Linoff showed readers how to use data mining techniques to improve marketing and sales. In their new, book they take readers to the next level with a series of step-by-step lessons, built around 20 real-world cases illustrating how they used their techniques to solve problems.

Read More Show Less

Editorial Reviews

From the Publisher
"I give it full marks for both content and value for money..."(Computer Bulletin - Book of the month, March 2001)
Computer Bulletin
I give it full marks for both content and value for money...
Read More Show Less

Product Details

  • ISBN-13: 9780471331230
  • Publisher: Wiley, John & Sons, Incorporated
  • Publication date: 12/14/1999
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 512
  • Product dimensions: 1.04 (w) x 7.50 (h) x 9.25 (d)

Meet the Author

MICHAEL J. A. BERRY mjab@data-miners.com and GORDON S. LINOFF gordon@data-miners.com are the founders of Data Miners Inc., a respected data mining consultancy. When not actively engaged in data mining projects, they present classes and seminars that have been well received around the world.
Read More Show Less

Table of Contents

SETTING THE FOCUS.

Data Mining in Context.

Why Master the Art?

Data Mining Methodology: The Virtuous Cycle Revisited.

Customers and Their Lifecycles.

THE THREE PILLARS OF DATA MINING.

Data Mining Techniques and Algorithms.

Data, Data Everywhere...

Building Effective Predictive Models.

Taking Control: Setting Up a Data Mining Environment.

CASE STUDIES.

Who Needs Bag Balm and Pants Stretchers.

Who Gets What? Building a Best Next Offer Model for an Online Bank.

Please Don't Go! Churn Modeling in Wireless Communication.

Converging on the Customer: Understanding Customer Behavior in the Telecommunications Industry.

Who Is Buying What? Getting to Know Supermarket Shoppers.

Waste Not, Want Not: Improving Manufacturing Processes.

The Societal Context: Data Mining and Privacy.

Index.

Read More Show Less

Introduction

Michael and I have been very impressed by the response to our first book, Data Mining Techniques for Marketing, Sales, and Customer Support (John Wiley & Sons, 1997) and the positive feedback that we received from many readers. We succeeded in our intention to write a comprehensive and comprehensible introduction to data mining.

Since writing Data Mining Techniques, much as changed. We have now founded our own company, Data Miners, so we can focus exclusively on data mining. Data Miners is dedicated to a vision of data mining that puts as much emphasis on understanding as it does on model results, and as much emphasis on process as it does on technology.

For those readers who have not had the experience, leaving the regularity of a paycheck to work independently is, shall I say, a fascinating and sometimes traumatic experience. It has given us the opportunity to learn first-hand about business and the business problems facing our clients; about different approaches to allocating budgets and choosing vendors; and so on. It has also given us the opportunity to partner with the leading data mining vendors, and to work with some of the top people in the field.

As our families and friends have asked us on more than one occasion, why would we take time out to work on a second book? The answer is simply that Mastering Data Mining needed to be written. The field of data mining has been changing rapidly over the past few years, and we want to address the needs of practitioners, on both the business and the technical sides.

To see how quickly the data mining market is evolving, we have only to look to the business pages. During the time it took to write thisbook, we witnessed a number of mergers and acquisitions that spoke eloquently of the burgeoning role for data mining in customer relationship management and e-commerce:

  • The world's largest privately held software company, SAS Institute, had its most successful product introduction ever-a data mining package. We used to joke that "statistics is everything in the SAS library and data mining is everything else." By that definition, data mining has now ceased to exist!
  • The closest competitor to SAS in the analytical software market, SPSS, acquired a leading data mining package, further legitimizing what just a few years ago was on the fringes or respectability.
  • DoubleClick, the largest seller of advertising on the World Wide Web bought Abacus, a company that specializes in using catalog data to build predictive models.

The signs are easy to read-whatever the problem, data mining is becoming part of the solution. Done well, data mining can indeed solve many problems, but doing it well requires understanding the entire process. This understanding comes from both successes and failures of earlier projects. Each project is a learning experience. In this book, we take you through many of our own projects in order to share the lessons we have learned.

Mastering Data Mining addresses data mining in context. Part One looks at the business context. These four chapters answer questions such as: Why is data mining important? What is a successful approach to data mining? The last chapter in this set looks at customers and customer relationship management. Although data mining is applied through a myriad of fields, it is in the area of customer relationship management that it garners the most press.

Part Two of the book looks at data mining from a technical perspective. One chapter reviews data mining techniques (covered in much more detail in our earlier book). Another looks at data, and a third on good modeling practices. This chapter, in particular, is very important-it embodies many of the lessons that we have learned through the years.

Part Three is the most important-and the longest-part of the book. These are case studies in data mining. Although all the case studies are in business, they range over many facets, from the exploration of hundreds of gigabytes of data, to predicting the next banner ad to display to a Web banking customer, to improving the printing process. All the case studies discuss the relevant business problems, as well as showing the technical approach, the data used, the results (where possible), and lessons learned.

The final chapter looks at data mining in the broadest context-that of society. Data mining has underscored some of our fears of "big brother" and other threats to privacy. Michael and I tend to look at the benefits that data mining offers. However, it is important to understand the issue of privacy, particularly in the context of analyzing data.

Throughout the book, we have stressed practical applications of data mining. We hope that this book helps you master the art.

Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star

(0)

4 Star

(0)

3 Star

(0)

2 Star

(0)

1 Star

(0)

Your Rating:

Your Name: Create a Pen Name or

Barnes & Noble.com Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & Noble.com that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & Noble.com does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at BN.com or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation

Reminder:

  • - By submitting a review, you grant to Barnes & Noble.com and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Noble.com Terms of Use.
  • - Barnes & Noble.com reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & Noble.com also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on BN.com. It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

 
Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)