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Data Mining and Statistical Analysis Using SQL
Lovett, John; Trueblood, Robert
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Description for Data Mining and Statistical Analysis Using SQL
Paperback. Unlike the theoretical texts on statistics or data mining, this practical book should help database administrators improve their understanding of statistics and how to use SQL in their daily routines of data mining and data analysis. Each chapter can be read independently of the others and has numerous examples of business applications. Num Pages: 426 pages, 151 black & white illustrations, biography. BIC Classification: UMC; UMT; UNC; UNS. Category: (G) General (US: Trade). Dimension: 235 x 191 x 22. Weight in Grams: 816.
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!
Product Details
Format
Paperback
Publication date
2001
Publisher
APress United States
Number of pages
436
Condition
New
Number of Pages
410
Place of Publication
Berkley, United States
ISBN
9781893115545
SKU
V9781893115545
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Lovett, John; Trueblood, Robert
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.
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