FREE Delivery in the UK.
Usually dispatched within 1 to 2 months.
Dispatched from and sold by Amazon. Gift-wrap available.

Dispatch to:
To see addresses, please
Please enter a valid UK postcode.
+ £2.80 UK delivery
Used: Good | Details
Condition: Used: Good
Comment: Expedited shipping available on this book. The book has been read but remains in clean condition. All pages are intact and the cover is intact. Some minor wear to the spine.
Have one to sell?
Flip to back Flip to front
Listen Playing... Paused   You're listening to a sample of the Audible audio edition.
Learn more
See all 2 images

Data Mining with Microsoft® SQL Server™ 2000 Technical Reference (IT Professional) Hardcover – 25 May 2001

See all 2 formats and editions Hide other formats and editions
Amazon Price
New from Used from
"Please retry"
£12.45 £1.78
"Please retry"
Note: This item is eligible for click and collect. Details
Pick up your parcel at a time and place that suits you.
  • Choose from over 13,000 locations across the UK
  • Prime members get unlimited deliveries at no additional cost
How to order to an Amazon Pickup Location?
  1. Find your preferred location and add it to your address book
  2. Dispatch to this address when you check out
Learn more
£30.99 FREE Delivery in the UK. Usually dispatched within 1 to 2 months. Dispatched from and sold by Amazon. Gift-wrap available.
click to open popover

Special offers and product promotions

Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.

  • Apple
  • Android
  • Windows Phone

To get the free app, enter your mobile phone number.

Product details

Product description

Amazon Review

According to Data Mining with Microsoft SQL Server 2000 Technical Reference, your organisational database is only as good as the strategic data you can extract from it. Do customers who buy breakfast cereal typically buy bananas as well? Is there a correlation between rainfall in a particular region and the prevalence of a particular illness there? Data Mining with Microsoft SQL Server 2000 Technical Reference shows how to use Microsoft's analysis tools for large databases. Author Claude Seidman offers advice on the data-modelling engineering process as a whole, including designing strategies likely to yield meaningful results, designing data warehouses, growing decision trees, spotting clusters and anomalies in data and automating mining processes with code.

Despite its designation as a reference, this book is largely a tutorial--you'll refer to it for advice on how to make Analysis Services do something in particular. Seidman uses a classic and effective tutorial technique, sticking with an example throughout the book and adding to previous examples as he explores additional aspects of Microsoft data mining. His illustration involves identifying edible mushrooms, based on a database of facts about known mushrooms, and he's combined how-to prose with screen shots and accumulated wisdom to great effect. If your organisation has gone with Microsoft SQL Server 2000 for data storage, read this book for advice on knowledge extraction. --David Wall

Topics covered: Microsoft Analysis Services, including the proper use of Data Transformation Services (DTS), PivotTable Services, Decision-Support Objects (DSO), and the Microsoft implementation of Online Analytical Processing (OLAP ).

From the Back Cover

With its state-of-the-art capabilities for rapidly processing and retrieving huge quantities of data, Microsoft(r) SQL Server 2000 is quickly growing in popularity among large corporations. But learning how to take advantage of the powerful, built-in data-mining services in SQL Server to turn all that data into meaningful information takes time and effort. Data Mining with SQL Server 2000 Technical Reference is the ideal, in-depth reference guide for any database developer, administrator, or IT professional who needs comprehensive information about these powerful new data-mining services. In particular, it fully examines the data-warehousing architecture in SQL Server 2000 to show how to take full advantage of the data-mining services in this RDBMS. This is the only Microsoft-approved technical guide to the data mining services in SQL Server 2000.

See all Product description

Customer reviews

There are no customer reviews yet.
5 star
4 star
3 star
2 star
1 star
Share your thoughts with other customers

Most helpful customer reviews on 3.1 out of 5 stars 7 reviews
17 people found this helpful.
4.0 out of 5 starsBook is better than the product
on 3 August 2001 - Published on
11 people found this helpful.
5.0 out of 5 starsWorking in a Data Mine
on 13 June 2001 - Published on
8 people found this helpful.
2.0 out of 5 starsGood technical reference
on 13 July 2001 - Published on
4 people found this helpful.
3.0 out of 5 starsVery Basic
on 10 June 2001 - Published on
6 people found this helpful.
5.0 out of 5 starsExtremely useful
on 13 June 2001 - Published on