Data Mining and Statistical Analysis Using SQL

✍ Scribed by Robert P. Trueblood, John N. Lovett Jr. (auth.)

• Publisher: Apress
• Year: 2001
• Tongue: English
• Leaves: 423
• Edition: 1
• Category: Library

✦ Synopsis

This book is not just another theoretical text about statistics or data mining. No, instead it is aimed for database administrators who want to use SQL or bolster their 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 Visual Basic procedure using SQL. Chapter contents include formulas, graphs, charts, tables, data mining techniques, and more!

✦ Table of Contents

Front Matter....Pages i-xvi
Basic Statistical Principles and Diagnostic Tree....Pages 1-8
Measures of Central Tendency and Dispersion....Pages 9-40
Goodness of Fit....Pages 41-83
Additional Tests of Hypothesis....Pages 85-117
Curve Fitting....Pages 119-180
Control Charting....Pages 181-228
Analysis of Experimental Designs....Pages 229-275
Time Series Analysis....Pages 277-335
Back Matter....Pages 337-414

✦ Subjects

Software Engineering/Programming and Operating Systems