Features
- Cover Type: Paperback with 480 pages
- Published by: Wiley October 7, 2005
- Written in: English
- ISBN 10 Number: 0471462616
- ISBN 13 Number: 978-0471462613
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Book Dimensions:
9.1 x 7.4 x 1.1 inches
- Weighs: 1.5 pounds
Product Description
Your in-depth guide to using the new Microsoft data mining standard to solve today's business problems Concealed inside your data warehouse and data marts is a wealth of valuable information just waiting to be discovered. All you need are the right tools to extract that information and put it to use. Serving as your expert guide, this book shows you how to create and implement data mining applications that will find the hidden patterns from your historical datasets. The authors explore the core concepts of data mining as well as the latest trends. They then reveal the best practices in the field, utilizing the innovative features of SQL Server 2005 so that you can begin building your own successful data mining projects.
You'll learn: - The principal concepts of data mining
- How to work with the data mining algorithms included in SQL Server data mining
- How to use DMX-the data mining query language
- The XML for Analysis API
- The architecture of the SQL Server 2005 data mining component
- How to extend the SQL Server 2005 data mining platform by plugging in your own algorithms
- How to implement a data mining project using SQL Server Integration Services
- How to mine an OLAP cube
- How to build an online retail site with cross-selling features
- How to access SQL Server 2005 data mining features programmatically
Back Cover Copy
Your in-depth guide to using the new Microsoft data mining standard to solve today's business problems Concealed inside your data warehouse and data marts is a wealth of valuable information just waiting to be discovered. All you need are the right tools to extract that information and put it to use. Serving as your expert guide, this book shows you how to create and implement data mining applications that will find the hidden patterns from your historical datasets. The authors explore the core concepts of data mining as well as the latest trends. They then reveal the best practices in the field, utilizing the innovative features of SQL Server 2005 so that you can begin building your own successful data mining projects.
You'll learn: - The principal concepts of data mining
- How to work with the data mining algorithms included in SQL Server data mining
- How to use DMX—the data mining query language
- The XML for Analysis API
- The architecture of the SQL Server 2005 data mining component
- How to extend the SQL Server 2005 data mining platform by plugging in your own algorithms
- How to implement a data mining project using SQL Server Integration Services
- How to mine an OLAP cube
- How to build an online retail site with cross-selling features
- How to access SQL Server 2005 data mining features programmatically
Reader ReviewsAt the time I'm writing this review this book is the only one available dedicated solely to the data mining features of SQL Server 2005. The book is good, but I was disappointed in it as well on three fronts. First, there is a chapter dedicated to each of the data mining algorithms. I didn't find the business use case examples for when, why, and how to use each algorithm sufficient. Second, each of the algorithm chapters goes off the deep-end explaining the mathematical basis for the algorithm. There are very, very few developers who are going to remember enough of their college mathematics to follow along. Third, the technical coverage of how to use the APIs and the data mining extension language (DMX) is superficial, particularly with DMX. After reading this book cover to cover I couldn't go off and write a DMX query if I wanted to. On the application I'm working on we are planning to implement our own web visualization viewers for the data mining algorithms. This book didn't give me what I needed in understanding the object model exposed by the APIs in order to handle the back-end coding for this. All in all, if you are planning to do data mining with SQL Server 2005 I would recommend this book only because at the time of this writing there is nothing else available. However, you will learn quite a bit about data mining with it and depending on your prior experience (more is better) it might be an excellent fit for you.