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Data Mining and Statistical Analysis Using SQL

Autor John Lovett, Robert P. Trueblood
en Limba Engleză Paperback – 18 sep 2001
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!
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Specificații

ISBN-13: 9781893115545
ISBN-10: 1893115542
Pagini: 432
Ilustrații: XVI, 410 p. 151 illus.
Dimensiuni: 191 x 235 x 23 mm
Greutate: 0.77 kg
Ediția:Softcover reprint of the original 1st ed.
Editura: Apress
Colecția Apress
Locul publicării:Berkeley, CA, United States

Public țintă

Professional/practitioner

Cuprins

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.

Notă biografică

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.

Caracteristici

Practical and loaded with examples for data mining, data warehousing, and customer relationship management SQL examples in every chapter Perfect supplemental resource for a statistics course Includes supplementary material: sn.pub/extras