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| 001 | 000000798309 | |
| 005 | 20021216143630 | |
| 008 | 011002s2001 caua b 001 0 eng d | |
| 020 | ▼a 1893115542 | |
| 040 | ▼a SNV ▼c SNV ▼d UMC ▼d 211009 | |
| 049 | 1 | ▼l 121067933 ▼f 과학 |
| 082 | 0 4 | ▼a 006.3 ▼2 21 |
| 090 | ▼a 006.3 ▼b T866d | |
| 100 | 1 | ▼a Trueblood, Robert P. |
| 245 | 1 0 | ▼a Data mining and statistical analysis using SQL / ▼c Robert P. Trueblood and John N. Lovett. |
| 260 | ▼a Berkeley, CA : ▼b Apress, ▼c c2001. | |
| 300 | ▼a xvi, 410 p. : ▼b ill. ; ▼c 24 cm. | |
| 440 | 0 | ▼a Books for professionals by professionals |
| 504 | ▼a Includes bibliographical references (p. 397) and index. | |
| 650 | 0 | ▼a Data mining. |
| 650 | 0 | ▼a SQL (Computer program language) |
| 650 | 0 | ▼a Computer algorithms. |
| 650 | 0 | ▼a Data warehousing. |
| 700 | 1 | ▼a Lovett, John N. |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 006.3 T866d | 등록번호 121067933 (3회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
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.
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.
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