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!
Preț: 229.47 lei
Preț vechi: 286.83 lei
-20% Nou
Puncte Express: 344
Preț estimativ în valută:
43.91€ • 45.31$ • 37.17£
43.91€ • 45.31$ • 37.17£
Carte disponibilă
Livrare economică 11-25 februarie
Preluare comenzi: 021 569.72.76
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
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/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