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

About the Author

ZhaoHui Tang is a Lead Program Manager in the Microsoft SQL Server Data Mining team. Joining Microsoft in 1999, he has been working on designing the data mining features of SQL Server 2000 and SQL Server 2005. He has spoken in many academic and industrial conferences including VLDB, KDD, TechED, PASS, etc. He has published a number of articles for database and data mining journals. Prior to Microsoft, he worked as a researcher at INRIA and Prism lab in Paris and led a team performing data-mining projects at Sema Group. He got his Ph.D. from the University of Versailles, France in 1996.

Jamie MacLennan is the Development Lead for the Data Mining Engine in SQL Server. He has been designing and implementing data mining functionality in collaboration with Microsoft Research since he joined Microsoft in 1999. In addition to developing the product, he regularly speaks on data mining at conferences worldwide, writes papers and articles about SQL Server Data Mining, and maintains data mining community sites. Prior to joining Microsoft, Jamie worked at Landmark Graphics, Inc. (division of Halliburton) on oil & gas exploration software and at Micrografx, Inc. on flowcharting and presentation graphics software. He studied undergraduate computer science at Cornell University.

"About this title" may belong to another edition of this title.

Store Description

ThriftBooks is a fully independent seller of used books, having sold more than 160 million used and new books since we started in 2003. Each quality used book is sorted, graded, shelved and shipped by hand by our team of dedicated employees in our seven warehouses across the US. We have the best selection of books, in the right condition and format, at everyday low prices. We also have a dedicated, US-based Customer Service team, ranked in the top three by Newsweek for Best Customer Service in 2018 and 2019, so you can shop with confidence. We support and invest in our employees, appreciate and value our customers, and truly believe in the power of the written word to educate, energize, and engage readers of all ages and interests.

Visit Seller's Storefront

Seller's business information

Thrift Books Global LLC
18300 Cascade Ave S, Seattle, WA, 98188, U.S.A.

Sale & Shipping Terms

Terms of Sale

We guarantee each book that we send you. If you have any problems, please contact
our dedicated customer service department. They will do everything possible to
ensure you are happy with your order.

Shipping Terms

All domestic Standard shipments are distributed from our warehouses by OSM, then handed off to the USPS for final delivery.

2-Day Shipping is delivered by FedEx, which does not deliver to PO boxes.

International shipments are tendered to the local postal service in the destination country for final delivery – We do not use courier services for international deliveries.