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Data Mining and Statistical Analysis Using SQL
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by Jr., John N. Lovett, Robert P. Trueblood, and John N. Lovett Jr.
Sales Rank: 862909
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Discount: 29 %
$14.00
At Amazon
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Paperback: 250 pages
Publisher: Apress; 1 edition October 15, 2001
Language: English
ISBN-10: 1893115542
ISBN-13: 978-1893115545
Product Dimensions:
9.1 x 7.9 x 1.1 inches
Shipping Weight: 1.5 pounds
Product Review
Data Mining and Statistical Analysis Using SQL concerns itself with the interface between applied mathematics--the discipline of statistical analysis--and really applied mathematics in the form of Structured Query Language (SQL) code that carries out such analysis. It's a subject that deserves careful coverage in a book, and the authors of this one--both working analysts with distinguished academic backgrounds--have done great work. If you're faced with a need to derive meaning from large quantities of data (from retail sales, industrial processes, or even scientific observations), and canned analysis tools aren't cutting it for you, take time to study what Robert Trueblood and John Lovett have to say.
Though some background in statistics will help you pick up on what Trueblood and Lovett have written, a low-level university class (even one far in your past) should be enough. Their approach to all of the analysis techniques they teach is to explain terms and concepts with prose, then with graphs, then with formulas. Then, they translate the formulas into SQL queries for Microsoft Access and show variations on the code that yield differently tweaked results. Finally, T-SQL source code (for Microsoft SQL Server 2000) is listed, though most readers will prefer to grab this code from the book's companion Web site. Additional coverage of graphics would make this book better, but in its present state it's great reading for people who want to interpret their mountains of data. --David Wall
Topics covered: Statistical analysis as a set of mathematical tools that may be implemented in Structured Query Language (SQL), specifically SQL variants for Microsoft database products. Chapters explain how to use hypothesis testing, curve fitting, scatter plots, measurements of central tendency, and regression analysis to spot significant characteristics of data.
Book Description
This book is not just another theoretical text about statistics or data mining. No, instead it is aimed for you DBAs who want to use SQL, or bolster your understanding of statistics to support data mining and customer relationship management analytics.
Each chapter is self-contained, with examples tailored to real business applications. And each analysis technique will be expressed in a mathematical format for coding as either a database query or a VB procedure using SQL. Chapter contents include formulas, graphs, charts, tables, data mining techniques, and more!
Customer Reviews & Comments
This is yet another introductory statistics text--a particularly old-fashioned one. The words "Data Mining" in the title are toitally misleading and I'm sorry I borrowed it. It is useless as a text book as it has nothing on resampling methods, the bootstrap and permutation tests.
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Data Mining and Statistical Analysis Using SQL
Discount: 29 %
Available from Amazon
Price: $14.00
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