Data Mining and Statistical Analysis Using SQL

Softcover Nachdruck of the original 1. Auflage 2001
ISBN: 978-1-893115-54-5
Verlag: Apress

Buch, Englisch, 410 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 802 g

Unlike the theoretical texts on statistics or data mining, this practical book will help database administrators improve their understanding of statistics and how to use SQL in their daily routines of data mining and data analysis. Each chapter can be read independently of the others and has numerous examples of business applications.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Trueblood, Robert P.

Lovett, John

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmierung: Methoden und Allgemeines
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Datenbankprogrammierung
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Compiler
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Prozedurale Programmierung
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse

Inhaltsverzeichnis

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.

Über Autor(innen)

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.