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Data Mining and Statistical Analysis Using SQL

  • Authors
  • Robert P. Trueblood
  • John N. LovettJr.
Book

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Robert P. Trueblood, John N. Lovett Jr.
    Pages 1-8
  3. Robert P. Trueblood, John N. Lovett Jr.
    Pages 9-40
  4. Robert P. Trueblood, John N. Lovett Jr.
    Pages 41-83
  5. Robert P. Trueblood, John N. Lovett Jr.
    Pages 85-117
  6. Robert P. Trueblood, John N. Lovett Jr.
    Pages 119-180
  7. Robert P. Trueblood, John N. Lovett Jr.
    Pages 181-228
  8. Robert P. Trueblood, John N. Lovett Jr.
    Pages 229-275
  9. Robert P. Trueblood, John N. Lovett Jr.
    Pages 277-335
  10. Back Matter
    Pages 337-414

About this book

Introduction

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!

Keywords

Data Warehouse SQL Statistik Visual Basic customer relationship management data mining database management relational database statistics

Bibliographic information