Data Mining and Statistical Analysis Using SQL
Published on 18. September 2001
Book
Paperback/Softback
XVI, 410 pages
978-1-893115-54-5 (ISBN)
Description
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!
More details
Edition
First Edition
Language
English
Place of publication
Berkeley
United States
Target group
Professional and scholarly
Professional/practitioner
Illustrations
151 s/w Abbildungen
XVI, 410 p. 151 illus.
Dimensions
Height: 235 mm
Width: 191 mm
Thickness: 24 mm
Weight
802 gr
ISBN-13
978-1-893115-54-5 (9781893115545)
DOI
10.1007/978-1-4302-0855-6
Schweitzer Classification
Persons
John N. Lovett, Jr. is a senior engineering consultant at QuantiTech, Inc. and co-owner, with his anthropologist/archaeologist wife, Jane, of Falls Mill and Museum in Belvedere, Tennessee. He has a Ph.D. in industrial engineering, a master's degree in operations research, and a bachelor's degree in mathematics.
Content
1 Basic Statistical Principles and Diagnostic Tree.- 2 Measures of Central Tendency and Dispersion.- 3 Goodness of Fit.- 4 Additional Tests of Hypothesis.- 5 Curve Fitting.- 6 Control Charting.- 7 Analysis of Experimental Designs.- 8 Time Series Analysis.- Appendix A Overview of Relational Database Structure and SQL.- Appendix B Statistical Tables.- Appendix C Tables of Statistical Distributions and Their Characteristics.- Appendix D Visual Basic Routines.