Free Ebook Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management, by Gordon S. Linoff, Michael J. A. Berry
By clicking the link that our company offer, you could take guide Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry perfectly. Hook up to web, download, and conserve to your tool. Exactly what else to ask? Reviewing can be so simple when you have the soft data of this Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry in your gadget. You could additionally duplicate the file Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry to your office computer system or in the house or even in your laptop computer. Just discuss this great news to others. Suggest them to see this web page as well as get their hunted for publications 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
Free Ebook Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management, by Gordon S. Linoff, Michael J. A. Berry
Why must wait for some days to get or obtain guide Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry that you get? Why should you take it if you could obtain Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry the quicker one? You can locate the same book that you get right here. This is it the book Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry that you could obtain directly after acquiring. This Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry is well known book worldwide, naturally many people will certainly aim to possess it. Why don't you end up being the first? Still puzzled with the method?
This letter could not influence you to be smarter, but the book Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry that we offer will stimulate you to be smarter. Yeah, a minimum of you'll recognize more than others which do not. This is just what called as the top quality life improvisation. Why should this Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry It's because this is your preferred style to read. If you like this Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry motif around, why do not you review the book Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry to enrich your discussion?
The presented book Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry we offer below is not type of typical book. You recognize, checking out now doesn't suggest to manage the published book Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry in your hand. You can get the soft file of Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry in your device. Well, we indicate that the book that we proffer is the soft file of the book Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry The content and all points are same. The difference is only the types of guide Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry, whereas, this condition will precisely pay.
We discuss you additionally the way to obtain this book Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry without visiting the book store. You can continue to visit the link that we offer as well as all set to download Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry When lots of people are busy to seek fro in the book establishment, you are quite easy to download the Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry here. So, exactly what else you will choose? Take the inspiration here! It is not just offering the appropriate book Data Mining Techniques: For Marketing, Sales, And Customer Relationship Management, By Gordon S. Linoff, Michael J. A. Berry yet likewise the ideal book collections. Here we consistently provide you the best and also easiest way.
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, naïve 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
Tidak ada komentar:
Posting Komentar