Synopsis
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!
"synopsis" may belong to another edition of this title.
About the Author
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.
"About this title" may belong to another edition of this title.
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Data Mining & Statistical Analysis Using SQL
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Data Mining and Statistical Analysis Using SQL
Published by
Apress L. P., 2001
ISBN 10: 1893115542
ISBN 13: 9781893115545
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Data Mining and Statistical Analysis Using SQL : A Practical Guide for Dba's
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Data Mining and Statistical Analysis Using SQL
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Paperback. Condition: New. This book is not just another theoretical text on statistics or data mining. Instead, it's designed for DBAs, database administrators, who want to buttress their understanding of statistics to support data mining and customer relationship management analytics and who want to use SQL, Structured Query Language. Each chapter is independent and self-contained with examples tailored to business applications. Each analysis technique is expressed in a mathematical format that lends itself to coding either as a database query or as a Visual Basic procedure using SQL.Each chapter includes: formulas (how to perform the required analysis, numerical example using data from a database, data visualization and presentation options (graphs, charts, tables), SQL procedures for extracting the desired results, and data mining techniques.About the authors:Robert P. Trueblood is an analyst at QuantiTech, Inc. He has a Ph.D. in computer science and applications and taught at the university level for 18 years before going into private industry. He enjoys designing and implementing systems in Visual Basic.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, TN.He has a Ph.D. in industrial engineering, with a BS in mathematics and MS in operations research. Seller Inventory # LU-9781893115545