Articoli correlati a Data Mining and Statistical Analysis Using Sql
Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull'autore
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.
Dalla quarta di copertina
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!
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Data Mining and Statistical Analysis Using SQL
Da: World of Books (was SecondSale), Montgomery, IL, U.S.A.
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Paperback. Condizione: Good. Where to Start xi Introduction WITH THE EXPLOSION IN computer technology during the past 30 years, there has been an accompanying proliferation of data. In many cases, however, companies have stacks of printed data or electronic databases that are of little use to them. This is often because those who could benefit the most from this information lack experience using the tools and techniques that could help them extract knowledge from the numbers. Now, more and more databases are also placed on the Internet. In fact, at no other time in history has more information been accessible to so many people. But how can it help us? Access to this information is important because data collected in the past may be used to predict future trends or to characterize a population from which a sample has been extracted. For example, a sample poll among 1,000 voters is often used to predict the outcome of an election. The latest computer-age term for this exercise is data min- ing. Statistics is the science (and art) of mining or analyzing such data. Like lawyers and physicians, statisticians have traditionally insulated themselves from the masses by using jargon and Greek symbols, thereby helping to ensure the need for their services. Codice articolo 00102687044
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Data Mining and Statistical Analysis Using SQL
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ISBN 10: 1893115542
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Paperback. Condizione: Good. Where to Start xi Introduction WITH THE EXPLOSION IN computer technology during the past 30 years, there has been an accompanying proliferation of data. In many cases, however, companies have stacks of printed data or electronic databases that are of little use to them. This is often because those who could benefit the most from this information lack experience using the tools and techniques that could help them extract knowledge from the numbers. Now, more and more databases are also placed on the Internet. In fact, at no other time in history has more information been accessible to so many people. But how can it help us? Access to this information is important because data collected in the past may be used to predict future trends or to characterize a population from which a sample has been extracted. For example, a sample poll among 1,000 voters is often used to predict the outcome of an election. The latest computer-age term for this exercise is data min- ing. Statistics is the science (and art) of mining or analyzing such data. Like lawyers and physicians, statisticians have traditionally insulated themselves from the masses by using jargon and Greek symbols, thereby helping to ensure the need for their services. Codice articolo CIN1893115542G
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Paperback. Condizione: Very Good. Where to Start xi Introduction WITH THE EXPLOSION IN computer technology during the past 30 years, there has been an accompanying proliferation of data. In many cases, however, companies have stacks of printed data or electronic databases that are of little use to them. This is often because those who could benefit the most from this information lack experience using the tools and techniques that could help them extract knowledge from the numbers. Now, more and more databases are also placed on the Internet. In fact, at no other time in history has more information been accessible to so many people. But how can it help us? Access to this information is important because data collected in the past may be used to predict future trends or to characterize a population from which a sample has been extracted. For example, a sample poll among 1,000 voters is often used to predict the outcome of an election. The latest computer-age term for this exercise is data min- ing. Statistics is the science (and art) of mining or analyzing such data. Like lawyers and physicians, statisticians have traditionally insulated themselves from the masses by using jargon and Greek symbols, thereby helping to ensure the need for their services. Codice articolo 00106699056
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Paperback. Condizione: Very Good. Where to Start xi Introduction WITH THE EXPLOSION IN computer technology during the past 30 years, there has been an accompanying proliferation of data. In many cases, however, companies have stacks of printed data or electronic databases that are of little use to them. This is often because those who could benefit the most from this information lack experience using the tools and techniques that could help them extract knowledge from the numbers. Now, more and more databases are also placed on the Internet. In fact, at no other time in history has more information been accessible to so many people. But how can it help us? Access to this information is important because data collected in the past may be used to predict future trends or to characterize a population from which a sample has been extracted. For example, a sample poll among 1,000 voters is often used to predict the outcome of an election. The latest computer-age term for this exercise is data min- ing. Statistics is the science (and art) of mining or analyzing such data. Like lawyers and physicians, statisticians have traditionally insulated themselves from the masses by using jargon and Greek symbols, thereby helping to ensure the need for their services. Codice articolo CIN1893115542VG
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