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Data Mining and Statistical Analysis Using SQL - John Lovett#Robert P. Trueblood
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John Lovett#Robert P. Trueblood:
Data Mining and Statistical Analysis Using SQL - neues Buch

ISBN: 9781893115545

ID: 601651a8e3cb2e0cd008f567dec2f518

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. 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. Bücher / Fremdsprachige Bücher / Englische Bücher 978-1-893115-54-5, Apress

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Data Mining and Statistical Analysis Using SQL - Trueblood, Robert P. Lovett, John N.
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Trueblood, Robert P. Lovett, John N.:
Data Mining and Statistical Analysis Using SQL - Taschenbuch

2001, ISBN: 9781893115545

[ED: Softcover], [PU: Springer, Berlin Apress], This book is not just another theoretical text on statistics or data mining. Instead, it's designed for database administrators who want to buttress their understanding of statistics to support data mining and customer relationship management analytics and who want to use Structured Query Language (SQL). 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. Softcover reprint of the original 1st ed. 2001. xvi, 410 S. 151 SW-Abb. 235 mm Versandfertig in 3-5 Tagen, [SC: 0.00], Neuware, gewerbliches Angebot

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Data Mining and Statistical Analysis Using Sql: A Practical Guide for DBAs - John Lovett Jr.
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John Lovett Jr.:
Data Mining and Statistical Analysis Using Sql: A Practical Guide for DBAs - gebrauchtes Buch

ISBN: 1893115542

ID: 5676606

Data Mining and Statistical Analysis Using SQL 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. Full description compilers,computers,computers and technology,data mining,database management systems,databases,education and reference,engineering,languages and tools,math Databases, Apress

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Data Mining and Statistical Analysis Using SQL - John Lovett; Robert P. Trueblood
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John Lovett; Robert P. Trueblood:
Data Mining and Statistical Analysis Using SQL - neues Buch

ISBN: 9781893115545

ID: 9781893115545

Computer Science; Database Management; Software Engineering/Programming and Operating Systems Data Warehouse, SQL, Statistik, Visual Basic, customer relationship management, data mining, database management, relational database, statistics Books Book, Springer Science+Business Media

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John Lovett Jr.; Robert P. Trueblood:
Data Mining and Statistical Analysis Using SQL - Taschenbuch

2001, ISBN: 9781893115545

ID: 26722586

Softcover reprint of the original 1st ed., Softcover, Buch, [PU: Apress]

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Details zum Buch
Data Mining & Statistical Analysis Using SQL: A Practical Guide for DBAs
Autor:

Trueblood, Robert; Lovett, John N. , Jr.

Titel:

Data Mining & Statistical Analysis Using SQL: A Practical Guide for DBAs

ISBN-Nummer:

This book is not just another theoretical text on statistics or data mining. Instead, it's designed for database administrators who want to buttress their understanding of statistics to support data mining and customer relationship management analytics and who want to use Structured Query Language (SQL). 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.

Detailangaben zum Buch - Data Mining & Statistical Analysis Using SQL: A Practical Guide for DBAs


EAN (ISBN-13): 9781893115545
ISBN (ISBN-10): 1893115542
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2001
Herausgeber: SPRINGER VERLAG GMBH
250 Seiten
Gewicht: 0,771 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 06.06.2007 00:12:54
Buch zuletzt gefunden am 10.05.2017 16:47:12
ISBN/EAN: 1893115542

ISBN - alternative Schreibweisen:
1-893115-54-2, 978-1-893115-54-5


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