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Data Mining with SQL Server 2005
vBulletin Book Store > vBulletin books beginning with D
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Data Mining with SQL Server 2005 |
Author: ZhaoHui Tang
Published: 2005-10-07 |
List price: $50.00
Our price: $31.50
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Usually ships in 24 hours
As of: July 04th, 2008 01:24:22 PM
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Customer comments on this selection.
 Theory-oriented book
1) The book uses many examples based on the AllElectronics database. However, the book does not provide the AllElectronics database. Nowhere on the net where you can download AllElectronics database, even on the publisher website. This book is supposed to show us how to design and run data mining on SQL Server 2005, but it fails to do that since the examples in the book are not runnable. I've read many books about Data Mining for SQL 2005. All of them have runnable code except this book.
2) At page 45, the author used the Customer_id as a data column in Customers table in database schema of a mini data mart, but later on, in the examples, he uses CustomerId as data column. In many places in the book, I found many inconsistencies between the database schema and the column names used in the query. Since the authors did not bother to provide the schema of the database, it is very confusing to keep track of what is going on after an MDX query.
 Superficial almost to the point of uselessness
I bought this book specifically to gain insight into the output I've gotten from using a couple of the data mining algorithms; unfortunately, there's even less on output interpretation than there is in the SQL server help files. Flipping through the book leaves the impression that the authors are trying to be everything to everyone, and end up only scratching the surface except in describing the algorithms.
I would have given it a 3 star rating anyway because it is useful to understand how the algorithms work, but went with 1 star to balance out one of the authors giving himself a 5.
 Just what I needed!
I have only recently started to get involved with Data Mining. I have been doing back end work with Analysis Services for a couple of years and we're ready to move on to the next level.
This book was amazing! The background in Analysis Services and Databases helped a lot, but the book covered all the topics in an easy to understand order. Sure, the chapters on the different algorithms can be very in depth, but apart from explaining the actual mathematical formulas, there is a huge amount of information about each algorithm that each developer MUST use when designing a Data Mining solution.
One of the reviewers commented that they can still not write a DMX statement. I'm confused by that statement! I am writing DMX statements using only the information I got out of this book. Sure, there are a few spelling mistakes here and there, but using the sections in the book where the syntax is fine, I've managed to run all the queries without issues.
I highly recommend this book.
Great Book for All Levels
I was really impressed with this book. It had a great introduction to demystify the typic of data mining. Since the learning curve on this topic is so high, these first few chapters are essential. It then immediately jumps into a practical example to help the reader bring it all together. The chapters get progressivily more difficult through the book and there's a chapter for each of the algorithms. The author team did a fantastic job and I'd highly recommend it.
A bible for those using SQL 2005
Some people commented on the poor editing: typos & some wrong pictures. True. (It detracts, but you can figure it out easily)
Some stated that it is not a good general overview of Data Mining. True (though it has a bit of a summary)
Some stated that is doesn't discuss business applications in detail. Yes, (it only makes brief reference to them).
Some stated that it is very vendor specific. Hello, read the title - SQL 2005.
It is a must read for anyone who wants to take maximum advantage of SQL Server 2005 Data Mining. It goes thru all the algorithms, tells you how each one works, how to tune them & how to embed them into your applications. It compliments the Books On-Line materials, tutorials & sample code that ship with the product.
(interesting how people pay for a textbook & never bother to read the copous amount of materials that ships with the product.)
It does give you a bit of background in DM, & does walk you thru using the tools (SSMS & BIDS) used to create & administer the Data Mining.
It doesn't talk about using the Data Mining Viewer controls in Visual Studio 2005.
It is an easy read & very informative. Especially if you go to the trouble of downloading the samples & data from the web site & actually build the models with the book & step thru the code.
While it isn't really an indepth treatment of DMX in the way that "George Spofford's MDX Solutions" is for MDX. It does give you more than enough examples to be able to create, train & predict from the models.
It also gives enough to embed your DM models into your applications, Use them from Excel & take full advantage of the DM built-into SQL Intergration Services.
If you want an DM Overview for business use - check out Barry Lindof's book
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