Data Mining and Statistical Analysis Using SQL
Autor John Lovett, Robert P. Trueblooden Limba Engleză Paperback – 18 sep 2001
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 24 mm
Greutate: 0.8 kg
Ediția:First Edition
Editura: Apress
Locul publicării:Berkeley, CA, United States
ISBN-10: 1893115542
Pagini: 432
Ilustrații: XVI, 410 p. 151 illus.
Dimensiuni: 191 x 235 x 24 mm
Greutate: 0.8 kg
Ediția:First Edition
Editura: Apress
Locul publicării:Berkeley, CA, United States
Public țintă
Professional/practitionerCuprins
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