Authors:
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
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (8 chapters)
-
Front Matter
-
Back Matter
About this book
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!
About the authors
Bibliographic Information
Book Title: Data Mining and Statistical Analysis Using SQL
Authors: Robert P. Trueblood, John N. Lovett
DOI: https://doi.org/10.1007/978-1-4302-0855-6
Publisher: Apress Berkeley, CA
-
eBook Packages: Springer Book Archive
Copyright Information: Robert P. Trueblood and John N. Lovett, Jr. 2001
Softcover ISBN: 978-1-893115-54-5Published: 18 September 2001
eBook ISBN: 978-1-4302-0855-6Published: 09 November 2013
Edition Number: 1
Number of Pages: XVI, 410
Number of Illustrations: 151 b/w illustrations
Topics: Database Management, Software Engineering/Programming and Operating Systems