Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data ...26 reviews
Ian H. Witten, Eibe Frank

Morgan Kaufmann, 2005

Thorough, well-written, and crystal-clear explanations.

Highly recommend this book for a practical introduction to the theory and applications of Machine Learning. Great book if you are looking to ACTUALLY implement some machine learning systems, prefer to learn via diagrams, a "how-stuff-works"-style explanation, and skip much of the equations and ...
  
  











  



  
Text Mining: Predictive Methods for Analyzing Unstructured Information5 reviews
Sholom Weiss, Nitin Indurkhya, ...

Springer, 2004

An excellent introduction

+ Great introduction book of text mining
+ an idiot savant, statistical viewpoint
+ Very Good Intro Book
  
  











  



  
Data Mining Cookbook: Modeling Data for Marketing, Risk and Customer Relationship Management14 reviews
Olivia Parr Rud

Wiley, 2000

Predictive Modeling Methodology For The Non-Statistical!

+ nice book
+ Practical and Powerful
+ The True Data Mining Cookbook
  
  











  



  
Data Mining and Business Intelligence: A Guide to Productivity5 reviews
Stephan Kudyba, Richard Hoptroff

IGI Global, 2001

Data Mining and Business Intelligence

+ This is the one.
+ Give it a shot, you won't regret it!
+ K & H have hit the nail on the head with this book!
+ Jeff Nicola, Business Strategy Consultant
  
  











  



  
Data Mining Explained: A Manager's Guide to Customer-Centric Business Intelligence2 reviews
Rhonda Delmater, Jr., Monte Hancock

Digital Press, 2001

Easier than technical DM books but more informative than business books

Much data mining literature is aimed either at marketers who do not even aspire to understand what the technology does, or technical practitioners who have graduate-level knowledge of math, computer science, and statistics. Data Mining Explained manages to straddle this fence, combining the ...
  
  











  



  
Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems)29 reviews
Jiawei Han, Micheline Kamber

Morgan Kaufmann, 2000

Great book for data mining

+ efficient, if technically a bit shallow
+ Good introduction on Data Mining
+ Augustine Nsang: Data Mining Book Purchase
  
  











  



  
Data Preparation for Data Mining (The Morgan Kaufmann Series in Data Management Systems)11 reviews
Dorian Pyle

Morgan Kaufmann, 1999

The best book on this subject

+ Still very much worth reading in 2007
+ Excellent book
+ Must read book for data mining
+ Excellent book; a must for those who do data mining.
  
  











  



  
Data Mining: Introductory and Advanced Topics3 reviews
Margaret H. Dunham

Prentice Hall, 2002

clarity in exposition

+ Good introductory survey to various technologies
+ Good book for those interested in Data Mining, Machine Learn

Dunham gives a clear explanation of the main ideas in data mining. It's a concise book, directed towards the researcher or programmer. Space considerations meant that some topics are only briefly but succinctly covered, like fuzzy logic. More details are provided about neural networks, genetic ...
  
  











  



  
Investigative Data Mining for Security and Criminal Detection, First Edition8 reviews
Jesus Mena

Butterworth-Heinemann, 2003

Alternative Methodologies

+ Data Mining, plain and easy
+ When on-message, an excellent intro to data mining

Are you interested in IDS's? If yes, perhaps you may already know that there are two main kinds of IDS's: based on "known bad behavior or abuse" or based on "behavior deviation". The first kind is very well known after several popular implementations like SNORT.On the plus side they are not ...
  
  











  



  
Oracle Data Mining: Mining Gold from Your Warehouse (Oracle In-Focus series)
Dr. Carolyn Hamm

Rampant Techpress, 2007

Targeting the data warehouse professional, this book provides tips on how to glean hidden trends and correlations from terabytes of Oracle data using proven tools such as SAS and ODM. Instructions for performing complex predictive analysis are also included.
  
  











  



  
Web Data Mining and Applications in Business Intelligence and Counter-Terrorism10 reviews
Bhavani Thuraisingham

CRC, 2003

Excellent overview

+ Excellent overview
+ Timely and useful

While there is somne repetition, this book provides an excellent overview of data mining and its applications to counter-terrorism. My only comment is that the book could have had a better introduction to counter-terrorism. Nevertheless the book will be very useful to anyone who wants to understand ...
  
  











  



  
Business Modeling and Data Mining (The Morgan Kaufmann Series in Data Management Systems)4 reviews
Dorian Pyle

Morgan Kaufmann, 2003

Using data to solve busines problems

+ Great book
+ Wonderful Book

A must have for any data miner that takes his profession seriously. Already a classic. Business modeling and data mining are carefully separated, as they should be. This crucial distinction has greatly enlightened my view on business problems. First discover the framework for the business problem, ...
  
  











  



  
How to Build a Business Rules Engine: Extending Application Functionality through Metadata Engineering (The ...6 reviews
Malcolm Chisholm

Morgan Kaufmann, 2003

Pragmatic Advice from an Experienced Practitioner

+ excellent technology primer for this subject area
+ Great book !

It is refreshing to see a book (like mine, Enterprise Knowledge Integrity - The Data Qualtiy Approach) that not only discusses the value of formalizing business rules, but also describes how to make those rules actionable. The fundamental approach described in this book provides great detail for ...
  
  











  



  
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management28 reviews
Michael J. A. Berry, Gordon S. Linoff

*Wiley Computer Publishing, 2004

Excellent introduction

+ Excellent book for Data Mining
+ Very Interesting book
+ A must-have book for your technical library
  
  











  



  
Data Mining Your Website6 reviews
Jesus Mena

Digital Press, 1999

Data Mining

+ Immediately Useful
+ Urgent contact

Case Study and Methodology for the Data Minin
  
  











  



  
Encyclopedia of Data Warehousing and Mining1 review

Idea Group Publishing, 2005

Useful for gaining entry into the literature

I'm not entirely sure why I'm bothering to write this review, since at $500, only corporate and academic libraries can afford to buy this set of books. Well, anyway, it's hard to rate a book like this. It's not really an encyclopedia, despite the title. It's more like a crash-course on the ...
  
  











  



  
Data Mining Explained: A Manager's Guide to Customer-Centric Business Intelligence2 reviews
Rhonda Delmater, Jr., Monte Hancock

Digital Press, 2001

Easier than technical DM books but more informative than business books

Much data mining literature is aimed either at marketers who do not even aspire to understand what the technology does, or technical practitioners who have graduate-level knowledge of math, computer science, and statistics. Data Mining Explained manages to straddle this fence, combining the ...
  
  











  



  
Data Mining and Business Intelligence: A Guide to Productivity5 reviews
Stephan Kudyba, Richard Hoptroff

IGI Global, 2001

Data Mining and Business Intelligence

+ This is the one.
+ Give it a shot, you won't regret it!
+ K & H have hit the nail on the head with this book!
+ Jeff Nicola, Business Strategy Consultant
  
  











  



  
Data Mining Cookbook: Modeling Data for Marketing, Risk and Customer Relationship Management14 reviews
Olivia Parr Rud

Wiley, 2000

Predictive Modeling Methodology For The Non-Statistical!

+ nice book
+ Practical and Powerful
+ The True Data Mining Cookbook
  
  











  



  
Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems)29 reviews
Jiawei Han, Micheline Kamber

Morgan Kaufmann, 2000

Great book for data mining

+ efficient, if technically a bit shallow
+ Good introduction on Data Mining
+ Augustine Nsang: Data Mining Book Purchase