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Data Mining Your Website [Paperback]

Jesus Mena (Author)
3.5 out of 5 stars  See all reviews (6 customer reviews)


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Book Description

1555582222 978-1555582227 July 29, 1999 1
Turn Web data into knowledge about your customers.

This exciting book will help companies create, capture, enhance, and analyze one of their most valuable new sources of marketing information-usage and transactional data from a website. A company's website is a primary point of contact with its customers and a medium in which visitor's actions are messages about who they are and what they want.

Data Mining Your Website will teach you the tools, techniques, and technologies you'll need to profile current and potential customers and predict on-line interests and behavior. You'll learn how to extract from the huge pools of information your website generates, insights into on-line buying patterns, and how to apply this knowledge to design a website that better attracts, engages, and retains on-line customers.

Data Mining Your Website explains how data mining is a foundation for the new field of web-based, interactive retailing, marketing, and advertising. This innovative book will help web developers and marketers, webmasters, and data management professionals harness powerful new tools and processes.




The first book to apply data mining specifically to e-commerce

Learn effective methods for gathering, managing, and mining Web customer information

Use data mining to profile customers and create personalized e-commerce programs

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Editorial Reviews

Review

...a well-written treatise on the method and value of extracting information about transactions on web sites. If readers are looking for justification to initiate data mining, the first chapter presents several good arguments that can be used to strengthen a business case study. Through the book, but especially in the final chapter about putting all the parts together, Mena's advice inserted between instruction is practical, appropriate, and obviously based on experience. In short the book is highly recommended, without reservation. - First Monday, August 200

From the Publisher

Digital Definition: Data mining is a set of techniques by which companies can examine large pools of data, such as customer account information, and identify important patterns, such as profiles of likely repeat customers. Based on neural networking and algorithm technologies, data mining is becoming both more powerful and increasingly easy and cheap to do.

Product Details

  • Paperback: 384 pages
  • Publisher: Digital Press; 1 edition (July 29, 1999)
  • Language: English
  • ISBN-10: 1555582222
  • ISBN-13: 978-1555582227
  • Product Dimensions: 9.2 x 7 x 0.8 inches
  • Shipping Weight: 1.3 pounds
  • Average Customer Review: 3.5 out of 5 stars  See all reviews (6 customer reviews)
  • Amazon Best Sellers Rank: #1,959,185 in Books (See Top 100 in Books)

More About the Author

New book: 'Mobile Analytics' it is about the modeling of digital devices behaviors in peoples' pockets or purses that are continuously broadcasting - where, what, when and how they want it - at Amazon on April 1, 2012 $9.99.



 

Customer Reviews

6 Reviews
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Average Customer Review
3.5 out of 5 stars (6 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

38 of 40 people found the following review helpful:
5.0 out of 5 stars Current and timely, October 12, 1999
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This review is from: Data Mining Your Website (Paperback)
I searched high and low for a book that blends the I/T and Business/Marketing disciplines to aid my understanding of the "behind the scenes" operation of e-commerce web sites. (No small feat!) I found plenty of books catering to each topic independently, but nothing that blended both. This book delivers on that niche, covering I/T tools and platforms, marketing theory and practice and even some stats. A unique and interesting blend, not "too technical" but heavy enough to interest the programmer types....definitely worth it! This book should climb the charts, once it's been out awhile!
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8 of 8 people found the following review helpful:
2.0 out of 5 stars Too preliminary (and lacks technical depth) ..., December 6, 2000
By 
Wicketkeeper (San Jose, CA USA) - See all my reviews
This review is from: Data Mining Your Website (Paperback)
If you're not a technologist, and want to "read" about data mining or at best get aware of what are the various technologies and products in the field, then maybe this might suffice. But if you're a hands on developer or a technology manager trying to learn data mining techniques to apply to your web systems, I'd advise you pass on this book (unfortunately, though, I don't have another one to recommend -- other than reading white papers and research reviews from some of the leading vendors of data mining products).
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5 of 5 people found the following review helpful:
4.0 out of 5 stars Immediately Useful, October 18, 2000
By 
Lawrence Sinclair (Manhattan, NY United States) - See all my reviews
(REAL NAME)   
This review is from: Data Mining Your Website (Paperback)
I discovered this book while I was completing a clickstream(web site) data mining solution at eToys. It was the first book I hadfound that provided information in a form I could use right away tohelp implement a solution. It contains a great survey of data miningtools -- the most comprehensive I have seen. It also contains specifictechnical facts that I found instantly relevant while helping todesign a clickstream datawarehouse at Morgan Stanley Dean WitterOnline.

When my clients ask me to recommend a book on website datamining, this is the one I recommend. I am buying more copies, for myemployees, and because it is hard to get the book back when I lend itto clients :-)...

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Inside This Book (learn more)
First Sentence:
The Web is like an organism made up of millions of cells that are all connected, intertwined, and communicating. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
data mining tool incorporating, privacy consortiums, most data mining tools, mining your website, data mining analysis, data mining analyses, website data, visitor attributes, transfer log file, website customers, retailing site, household database, website visitors, relational marketing, referrer log, data mining technology, physical retailers, neural network tool, common log format, retailing channel, customer information file, data mining project, electronic retailing, data mining process, external demographic
Key Phrases - Capitalized Phrases (CAPs): (learn more)
High Rise Renters, United States, Joe Blow, Ten Steps, The Providers, Data Access, Distinguishing Feature, File Limitations, Memory Required, Parallel Processing Support, Space Required, Decision Series, Enterprise Miner, Engage Technologies, Self-Organizing Map, Solution Format, Successful Suburbanites, Young Frequent Movers, Intelligent Miner, Request Headers, Empty Nesters, Greenwich Mean Time, None Installed Base, Automatic Interaction Detection, Code Demographic Database
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