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 and Statistical Analysis Using SQL
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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Condition: New. 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. . 2001. First Edition. paperback. . . . . Seller Inventory # V9781893115545
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Data Mining and Statistical Analysis Using SQL
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Condition: New. 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. . 2001. First Edition. paperback. . . . . Books ship from the US and Ireland. Seller Inventory # V9781893115545