Ebook Download Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management, by Gordon S. Linoff, Michael J. A. Berry
Book lovers, when you require a brand-new book to review, locate guide Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry right here. Never fret not to find what you require. Is the Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry your needed book currently? That's true; you are actually an excellent viewers. This is an ideal book Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry that comes from fantastic writer to show to you. The book Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry supplies the very best encounter as well as lesson to take, not only take, yet additionally find out.
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management, by Gordon S. Linoff, Michael J. A. Berry
Ebook Download Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management, by Gordon S. Linoff, Michael J. A. Berry
Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry. Pleased reading! This is what we desire to claim to you who enjoy reading so a lot. What about you that declare that reading are only commitment? Never ever mind, checking out behavior must be begun from some particular reasons. Among them is checking out by commitment. As just what we intend to offer below, the publication entitled Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry is not kind of required publication. You could enjoy this book Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry to review.
As one of the home window to open up the new world, this Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry offers its outstanding writing from the writer. Published in one of the popular publishers, this publication Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry turneds into one of one of the most needed publications lately. Really, guide will not matter if that Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry is a best seller or otherwise. Every book will still give ideal resources to get the visitor all finest.
Nevertheless, some people will certainly seek for the best seller book to review as the very first reference. This is why; this Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry is presented to fulfil your necessity. Some people like reading this publication Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry as a result of this popular book, yet some love this because of favourite writer. Or, several also like reading this publication Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry considering that they really should read this publication. It can be the one that really enjoy reading.
In getting this Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry, you may not still go by strolling or using your electric motors to guide stores. Obtain the queuing, under the rain or warm light, and also still hunt for the unidentified book to be in that book establishment. By seeing this page, you can just hunt for the Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry and also you could locate it. So currently, this time is for you to go with the download web link and acquisition Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry as your own soft file publication. You could read this publication Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry in soft documents only and wait as yours. So, you do not need to fast put guide Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry right into your bag almost everywhere.
The leading introductory book on data mining, fully updated and revised!
When Berry and Linoff wrote the first edition of Data Mining Techniques in the late 1990s, data mining was just starting to move out of the lab and into the office and has since grown to become an indispensable tool of modern business. This new edition—more than 50% new and revised—�is a significant update from the previous one, and shows you how to harness the newest data mining methods and techniques to solve common business problems. The duo of unparalleled authors share invaluable advice for improving response rates to direct marketing campaigns, identifying new customer segments, and estimating credit risk. In addition, they cover more advanced topics such as preparing data for analysis and creating the necessary infrastructure for data mining at your company.�
- Features significant updates since the previous edition and updates you on best practices for using data mining methods and techniques for solving common business problems
- Covers a new data mining technique in every chapter along with clear, concise explanations on how to apply each technique immediately
- Touches on core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, survival analysis, and more
- Provides best practices for performing data mining using simple tools such as Excel
Data Mining Techniques, Third Edition covers a new data mining technique with each successive chapter and then demonstrates how you can apply that technique for improved marketing, sales, and customer support to get immediate results.
- Sales Rank: #311552 in Books
- Brand: Linoff, Gordon S./ Berry, Michael J.
- Published on: 2011-04-12
- Original language: English
- Number of items: 1
- Dimensions: 9.30" h x 1.88" w x 7.40" l, 2.80 pounds
- Binding: Paperback
- 888 pages
From the Back Cover
The newest edition of the leading introductory book on data mining, fully updated and revised
Who will remain a loyal customer and who won't? Which messages are most effective with which segments? How can customer value be maximized? This book supplies powerful tools for extracting the answers to these and other crucial business questions from the corporate databases where they lie buried. In the years since the first edition of this book, data mining has grown to become an indispensable tool of modern business. In this latest edition, Linoff and Berry have made extensive updates and revisions to every chapter and added several new ones. The book retains the focus of earlier editions—showing marketing analysts, business managers, and data mining specialists how to harness data mining methods and techniques to solve important business problems. While never sacrificing accuracy for the sake of simplicity, Linoff and Berry present even complex topics in clear, concise English with minimal use of technical jargon or mathematical formulas. Technical topics are illustrated with case studies and practical real-world examples drawn from the authors' experiences, and every chapter contains valuable tips for practitioners. Among the techniques newly covered, or covered in greater depth, are linear and logistic regression models, incremental response (uplift) modeling, na�ve Bayesian models, table lookup models, similarity models, radial basis function networks, expectation maximization (EM) clustering, and swarm intelligence. New chapters are devoted to data preparation, derived variables, principal components and other variable reduction techniques, and text mining.
After establishing the business context with an overview of data mining applications, and introducing aspects of data mining methodology common to all data mining projects, the book covers each important data mining technique in detail.
This third edition of Data Mining Techniques covers such topics as:
-
How to create stable, long-lasting predictive models
-
Data preparation and variable selection
-
Modeling specific targets with directed techniques such as regression, decision trees, neural networks, and memory based reasoning
-
Finding patterns with undirected techniques such as clustering, association rules, and link analysis
-
Modeling business time-to-event problems such as time to next purchase and expected remaining lifetime
-
Mining unstructured text
The companion website provides data that can be used to test out the various data mining techniques in the book.
About the Author
GORDON S. LINOFF and MICHAEL J. A. BERRY are the founders of Data Miners, Inc., a consultancy specializing in data mining. They have jointly authored two of the leading data mining titles in the field, Data Mining Techniques and Mastering Data Mining (both from Wiley). They each have decades of experience applying data mining techniques to business problems in marketing and customer relationship management.
Most helpful customer reviews
7 of 7 people found the following review helpful.
Needs major restructuring
By Life long learner
This book has useful nuggets but one needs to be patient to weed through ill-structured content.
Problem1: Examples and content repeats quite a bit across chapters, but unfortunately never discusses things properly at one place. In every edition authors have added chapters but seemed to have forgotten what they have already discussed in earlier chapters.
Problem2: Many suggestions, scenarios have been incompletely discussed. Without enough information one has to assume quite a bit about the scenario, problem, solution and the value of it. It is okay if it had happened once in a while, but this sprinkling of anecdotes without fully discussing is rampant in this book.
Problem3: It is quite verbose.
Problem4: Keeps on changing the depth of the discussion. The discussion is overall at high-level, however at times authors would go really deep to discuss details around some random topic eg calculation of silhouette scores. The primary focus seemed to be business people and not statistics students. Going deep "selectively" is also a big problem in this book.
This book has the potential to become a really good book, but it needs major restructuring.
5 of 5 people found the following review helpful.
In a field evolving as dynamically as data science, ...
By Zain Khandwala
In a field evolving as dynamically as data science, 2011 seems a long time ago, and I've since bought a number of the newer titles out there. Still, however, I often find myself reverting to Linoff and Barry's text for a lucid explanation of, or interesting take on a particular data mining subject area.
The book is thorough (at 800+ pages this should be the expectation) and technical, but isn't really a how-to manual in that it stops short of containing actual code or instructions. That's not an issue, however, as such instructional information is available elsewhere if needed.
My only complaint about the work is that it is a little redundant and otherwise verbose at times. I hope a fourth edition is forthcoming, and that it is a little more tightly edited.
---
Z. Khandwala
Institute for Advanced Analytics
Bellarmine University - Louisville, KY
2 of 2 people found the following review helpful.
Good Book - Highly Recommended.
By Geoffrey M. Lucas
I got this book for a class on Data-Mining and I found it to be a very good book. It has good visuals to help the reader understand the concepts in the book and maintains a good sense of humor throughout so reading it doesn't seem as dense as some of my typical statistics books. My only criticism of the book would be that it never discusses common software platforms for performing these tasks. While I understand that he probably didn't want to favor a particular platform over another, it seems that introducing the major ones could be helpful for people that may be very used to using just one.
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management, by Gordon S. Linoff, Michael J. A. Berry PDF
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management, by Gordon S. Linoff, Michael J. A. Berry EPub
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management, by Gordon S. Linoff, Michael J. A. Berry Doc
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management, by Gordon S. Linoff, Michael J. A. Berry iBooks
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management, by Gordon S. Linoff, Michael J. A. Berry rtf
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management, by Gordon S. Linoff, Michael J. A. Berry Mobipocket
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management, by Gordon S. Linoff, Michael J. A. Berry Kindle
No comments:
Post a Comment